cryptosky-report/document.bbl
Andy Sotheran a1f949f8db 28/04
2019-04-28 01:42:38 +01:00

1510 lines
60 KiB
Plaintext

% $ biblatex auxiliary file $
% $ biblatex bbl format version 2.9 $
% Do not modify the above lines!
%
% This is an auxiliary file used by the 'biblatex' package.
% This file may safely be deleted. It will be recreated by
% biber as required.
%
\begingroup
\makeatletter
\@ifundefined{ver@biblatex.sty}
{\@latex@error
{Missing 'biblatex' package}
{The bibliography requires the 'biblatex' package.}
\aftergroup\endinput}
{}
\endgroup
\refsection{0}
\datalist[entry]{none/global//global/global}
\entry{SaTdpsmm}{inproceedings}{}
\name{author}{4}{}{%
{{hash=452dff749c5d03968381e376f46bf0a0}{%
family={Pagolu},
familyi={P\bibinitperiod},
given={Venkata\bibnamedelima Sasank},
giveni={V\bibinitperiod\bibinitdelim S\bibinitperiod}}}%
{{hash=18d16b6609c94fec3ce6a27cb11ad712}{%
family={Reddy},
familyi={R\bibinitperiod},
given={Kamal\bibnamedelima Nayan},
giveni={K\bibinitperiod\bibinitdelim N\bibinitperiod}}}%
{{hash=bb79fbbcf11783d9a120114935cbcf43}{%
family={Panda},
familyi={P\bibinitperiod},
given={Ganapati},
giveni={G\bibinitperiod}}}%
{{hash=4056f804aa7f98a00b2df63d78959f2d}{%
family={Majhi},
familyi={M\bibinitperiod},
given={Babita},
giveni={B\bibinitperiod}}}%
}
\list{organization}{1}{%
{IEEE}%
}
\strng{namehash}{85459ae8a334aacad62b2b686d8d6ff4}
\strng{fullhash}{cc3c0aac71b441c0b6d46a956c9328f7}
\strng{bibnamehash}{cc3c0aac71b441c0b6d46a956c9328f7}
\strng{authorbibnamehash}{cc3c0aac71b441c0b6d46a956c9328f7}
\strng{authornamehash}{85459ae8a334aacad62b2b686d8d6ff4}
\strng{authorfullhash}{cc3c0aac71b441c0b6d46a956c9328f7}
\field{sortinit}{1}
\field{sortinithash}{2174f786c6195e7fe2ee1c229b416e29}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{2016 international conference on signal processing, communication, power and embedded system (SCOPES)}
\field{title}{Sentiment analysis of Twitter data for predicting stock market movements}
\field{year}{2016}
\field{pages}{1345\bibrangedash 1350}
\range{pages}{6}
\verb{urlraw}
\verb https://arxiv.org/pdf/1610.09225.pdf
\endverb
\verb{url}
\verb https://arxiv.org/pdf/1610.09225.pdf
\endverb
\endentry
\entry{nlAeiBTCPSO}{inproceedings}{}
\name{author}{4}{}{%
{{hash=2a4d4d42d154959e1209b3434c0f35d9}{%
family={Indera},
familyi={I\bibinitperiod},
given={NI},
giveni={N\bibinitperiod}}}%
{{hash=8fb0b5be6a935472ae0bcdd819939ab6}{%
family={Yassin},
familyi={Y\bibinitperiod},
given={IM},
giveni={I\bibinitperiod}}}%
{{hash=7cb88a77da50458ea2aea52631a903c8}{%
family={Zabidi},
familyi={Z\bibinitperiod},
given={A},
giveni={A\bibinitperiod}}}%
{{hash=b98820abe300b0a83de77ca6f6f03eb8}{%
family={Rizman},
familyi={R\bibinitperiod},
given={ZI},
giveni={Z\bibinitperiod}}}%
}
\list{organization}{1}{%
{University of El Oued}%
}
\strng{namehash}{daf4cf56937aa8d02febc08a6d0eeb84}
\strng{fullhash}{5dedba977c0a3609dbcbbe7a0cc798e5}
\strng{bibnamehash}{5dedba977c0a3609dbcbbe7a0cc798e5}
\strng{authorbibnamehash}{5dedba977c0a3609dbcbbe7a0cc798e5}
\strng{authornamehash}{daf4cf56937aa8d02febc08a6d0eeb84}
\strng{authorfullhash}{5dedba977c0a3609dbcbbe7a0cc798e5}
\field{sortinit}{2}
\field{sortinithash}{cbff857e587bcb4635511624d773949e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{Journal of Fundamental and Applied Sciences. Vol.35, No.35}
\field{title}{Non-linear autoregressive with exogeneous input (NARX) Bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators}
\field{year}{2017}
\field{pages}{791\bibrangedash 808}
\range{pages}{18}
\verb{urlraw}
\verb https://www.ajol.info/index.php/jfas/article/viewFile/165614/155073
\endverb
\verb{url}
\verb https://www.ajol.info/index.php/jfas/article/viewFile/165614/155073
\endverb
\endentry
\entry{BTCFTsent}{inproceedings}{}
\name{author}{1}{}{%
{{hash=f2e3d1233a4ae1ff0dc165a2561130e0}{%
family={Evita\bibnamedelima Stenqvist},
familyi={E\bibinitperiod\bibinitdelim S\bibinitperiod},
given={Jacob\bibnamedelima Lonno},
giveni={J\bibinitperiod\bibinitdelim L\bibinitperiod}}}%
}
\list{organization}{1}{%
{Diva}%
}
\strng{namehash}{f2e3d1233a4ae1ff0dc165a2561130e0}
\strng{fullhash}{f2e3d1233a4ae1ff0dc165a2561130e0}
\strng{bibnamehash}{f2e3d1233a4ae1ff0dc165a2561130e0}
\strng{authorbibnamehash}{f2e3d1233a4ae1ff0dc165a2561130e0}
\strng{authornamehash}{f2e3d1233a4ae1ff0dc165a2561130e0}
\strng{authorfullhash}{f2e3d1233a4ae1ff0dc165a2561130e0}
\field{sortinit}{3}
\field{sortinithash}{a4b52e5432884761f50fb9571273b93e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Predicting Bitcoin price fluctuation with Twitter sentiment analysis}
\field{year}{2017}
\verb{urlraw}
\verb http://www.diva-portal.org/smash/get/diva2:1110776/FULLTEXT01.pdf
\endverb
\verb{url}
\verb http://www.diva-portal.org/smash/get/diva2:1110776/FULLTEXT01.pdf
\endverb
\endentry
\entry{BTCRNN}{inproceedings}{}
\name{author}{1}{}{%
{{hash=a0717771b02f10aa6a33d0602f6288db}{%
family={Yalcin},
familyi={Y\bibinitperiod},
given={Orhan\bibnamedelima Gazi},
giveni={O\bibinitperiod\bibinitdelim G\bibinitperiod}}}%
}
\list{organization}{1}{%
{Towards Data Science}%
}
\strng{namehash}{a0717771b02f10aa6a33d0602f6288db}
\strng{fullhash}{a0717771b02f10aa6a33d0602f6288db}
\strng{bibnamehash}{a0717771b02f10aa6a33d0602f6288db}
\strng{authorbibnamehash}{a0717771b02f10aa6a33d0602f6288db}
\strng{authornamehash}{a0717771b02f10aa6a33d0602f6288db}
\strng{authorfullhash}{a0717771b02f10aa6a33d0602f6288db}
\field{sortinit}{4}
\field{sortinithash}{11cdaee3b18e01d77f3f428b13c1fc76}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Predict Tomorrows Bitcoin (BTC) Price with Recurrent Neural Networks}
\field{year}{2018}
\verb{urlraw}
\verb https://towardsdatascience.com/using-recurrent-neural-networks-to-predict-bitcoin-btc-prices-c4ff70f9f3e4
\endverb
\verb{url}
\verb https://towardsdatascience.com/using-recurrent-neural-networks-to-predict-bitcoin-btc-prices-c4ff70f9f3e4
\endverb
\endentry
\entry{ISO9000}{inproceedings}{}
\name{author}{1}{}{%
{{hash=5b512ee8a59deb284ad0a6a035ba10b1}{%
family={ISO},
familyi={I\bibinitperiod}}}%
}
\list{organization}{1}{%
{ISO}%
}
\strng{namehash}{5b512ee8a59deb284ad0a6a035ba10b1}
\strng{fullhash}{5b512ee8a59deb284ad0a6a035ba10b1}
\strng{bibnamehash}{5b512ee8a59deb284ad0a6a035ba10b1}
\strng{authorbibnamehash}{5b512ee8a59deb284ad0a6a035ba10b1}
\strng{authornamehash}{5b512ee8a59deb284ad0a6a035ba10b1}
\strng{authorfullhash}{5b512ee8a59deb284ad0a6a035ba10b1}
\field{sortinit}{6}
\field{sortinithash}{57e57fb8451e7fcfa45d1e069f6d3136}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Quality management principles:ISO9000-IS9001}
\field{year}{2015}
\verb{urlraw}
\verb https://www.iso.org/files/live/sites/isoorg/files/archive/pdf/en/pub100080.pdf
\endverb
\verb{url}
\verb https://www.iso.org/files/live/sites/isoorg/files/archive/pdf/en/pub100080.pdf
\endverb
\endentry
\entry{StPNSentA}{inproceedings}{}
\name{author}{1}{}{%
{{hash=0082b92db99b10a1b0be2e2a81ee914f}{%
family={Intel-Corporation},
familyi={I\bibinithyphendelim C\bibinitperiod}}}%
}
\list{organization}{1}{%
{Code Project}%
}
\strng{namehash}{0082b92db99b10a1b0be2e2a81ee914f}
\strng{fullhash}{0082b92db99b10a1b0be2e2a81ee914f}
\strng{bibnamehash}{0082b92db99b10a1b0be2e2a81ee914f}
\strng{authorbibnamehash}{0082b92db99b10a1b0be2e2a81ee914f}
\strng{authornamehash}{0082b92db99b10a1b0be2e2a81ee914f}
\strng{authorfullhash}{0082b92db99b10a1b0be2e2a81ee914f}
\field{sortinit}{9}
\field{sortinithash}{1dd72ab054147731c9d824b49aba0534}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Stock Predictions through News Sentiment Analysis}
\field{year}{2017}
\verb{urlraw}
\verb https://www.codeproject.com/Articles/1201444/Stock-Predictions-through-News-Sentiment-Analysis
\endverb
\verb{url}
\verb https://www.codeproject.com/Articles/1201444/Stock-Predictions-through-News-Sentiment-Analysis
\endverb
\endentry
\entry{MLBTCpred}{inproceedings}{}
\name{author}{1}{}{%
{{hash=be03763696a3a6a39ccce2baf4fb6f4e}{%
family={Sean\bibnamedelima McNally},
familyi={S\bibinitperiod\bibinitdelim M\bibinitperiod},
given={Simon\bibnamedelima Caton},
giveni={S\bibinitperiod\bibinitdelim C\bibinitperiod},
suffix={Jason\bibnamedelima Roche},
suffixi={J\bibinitperiod\bibinitdelim R\bibinitperiod}}}%
}
\list{organization}{1}{%
{IEEE}%
}
\strng{namehash}{be03763696a3a6a39ccce2baf4fb6f4e}
\strng{fullhash}{be03763696a3a6a39ccce2baf4fb6f4e}
\strng{bibnamehash}{be03763696a3a6a39ccce2baf4fb6f4e}
\strng{authorbibnamehash}{be03763696a3a6a39ccce2baf4fb6f4e}
\strng{authornamehash}{be03763696a3a6a39ccce2baf4fb6f4e}
\strng{authorfullhash}{be03763696a3a6a39ccce2baf4fb6f4e}
\field{sortinit}{1}
\field{sortinithash}{2174f786c6195e7fe2ee1c229b416e29}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)}
\field{title}{Predicting the Price of Bitcoin Using Machine Learning}
\field{year}{2018}
\field{pages}{344\bibrangedash 347}
\range{pages}{4}
\verb{urlraw}
\verb https://ieeexplore.ieee.org/abstract/document/8374483
\endverb
\verb{url}
\verb https://ieeexplore.ieee.org/abstract/document/8374483
\endverb
\endentry
\entry{SearchTweets}{inproceedings}{}
\name{author}{1}{}{%
{{hash=2491bc9c7d8731e1ae33124093bc7026}{%
family={Twitter},
familyi={T\bibinitperiod}}}%
}
\list{organization}{1}{%
{Twitter Developers}%
}
\strng{namehash}{2491bc9c7d8731e1ae33124093bc7026}
\strng{fullhash}{2491bc9c7d8731e1ae33124093bc7026}
\strng{bibnamehash}{2491bc9c7d8731e1ae33124093bc7026}
\strng{authorbibnamehash}{2491bc9c7d8731e1ae33124093bc7026}
\strng{authornamehash}{2491bc9c7d8731e1ae33124093bc7026}
\strng{authorfullhash}{2491bc9c7d8731e1ae33124093bc7026}
\field{sortinit}{1}
\field{sortinithash}{2174f786c6195e7fe2ee1c229b416e29}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Search Tweets}
\field{year}{2018}
\verb{urlraw}
\verb https://developer.twitter.com/en/docs/tweets/search/overview
\endverb
\verb{url}
\verb https://developer.twitter.com/en/docs/tweets/search/overview
\endverb
\endentry
\entry{ConStream}{inproceedings}{}
\name{author}{1}{}{%
{{hash=2491bc9c7d8731e1ae33124093bc7026}{%
family={Twitter},
familyi={T\bibinitperiod}}}%
}
\list{organization}{1}{%
{Twitter Developers}%
}
\strng{namehash}{2491bc9c7d8731e1ae33124093bc7026}
\strng{fullhash}{2491bc9c7d8731e1ae33124093bc7026}
\strng{bibnamehash}{2491bc9c7d8731e1ae33124093bc7026}
\strng{authorbibnamehash}{2491bc9c7d8731e1ae33124093bc7026}
\strng{authornamehash}{2491bc9c7d8731e1ae33124093bc7026}
\strng{authorfullhash}{2491bc9c7d8731e1ae33124093bc7026}
\field{sortinit}{1}
\field{sortinithash}{2174f786c6195e7fe2ee1c229b416e29}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Consuming streaming data}
\field{year}{2018}
\verb{urlraw}
\verb https://developer.twitter.com/en/docs/tutorials/consuming-streaming-data.html
\endverb
\verb{url}
\verb https://developer.twitter.com/en/docs/tutorials/consuming-streaming-data.html
\endverb
\endentry
\entry{TweepyStream}{inproceedings}{}
\name{author}{1}{}{%
{{hash=1e48a059b3f2c3703bea8d54a9e002c9}{%
family={Roesslein},
familyi={R\bibinitperiod},
given={Joshua},
giveni={J\bibinitperiod}}}%
}
\list{organization}{1}{%
{Tweepy}%
}
\strng{namehash}{1e48a059b3f2c3703bea8d54a9e002c9}
\strng{fullhash}{1e48a059b3f2c3703bea8d54a9e002c9}
\strng{bibnamehash}{1e48a059b3f2c3703bea8d54a9e002c9}
\strng{authorbibnamehash}{1e48a059b3f2c3703bea8d54a9e002c9}
\strng{authornamehash}{1e48a059b3f2c3703bea8d54a9e002c9}
\strng{authorfullhash}{1e48a059b3f2c3703bea8d54a9e002c9}
\field{sortinit}{1}
\field{sortinithash}{2174f786c6195e7fe2ee1c229b416e29}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Streaming With Tweepy}
\field{year}{2009}
\verb{urlraw}
\verb http://docs.tweepy.org/en/v3.4.0/streaming_how_to.html
\endverb
\verb{url}
\verb http://docs.tweepy.org/en/v3.4.0/streaming_how_to.html
\endverb
\endentry
\entry{PolClassPatients}{inproceedings}{}
\name{author}{1}{}{%
{{hash=ae1fc492a61542a18835322c490c5af1}{%
family={Mehrnoush\bibnamedelima Shamsfard},
familyi={M\bibinitperiod\bibinitdelim S\bibinitperiod},
given={Samira\bibnamedelima Noferesti},
giveni={S\bibinitperiod\bibinitdelim N\bibinitperiod}}}%
}
\list{organization}{1}{%
{Elsevier}%
}
\strng{namehash}{ae1fc492a61542a18835322c490c5af1}
\strng{fullhash}{ae1fc492a61542a18835322c490c5af1}
\strng{bibnamehash}{ae1fc492a61542a18835322c490c5af1}
\strng{authorbibnamehash}{ae1fc492a61542a18835322c490c5af1}
\strng{authornamehash}{ae1fc492a61542a18835322c490c5af1}
\strng{authorfullhash}{ae1fc492a61542a18835322c490c5af1}
\field{sortinit}{1}
\field{sortinithash}{2174f786c6195e7fe2ee1c229b416e29}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{Journal of Biomedical Informatics}
\field{title}{Using Linked Data for polarity classification of patients experiences}
\field{year}{2015}
\field{pages}{6\bibrangedash 19}
\range{pages}{14}
\verb{urlraw}
\verb https://www.sciencedirect.com/science/article/pii/S1532046415001276
\endverb
\verb{url}
\verb https://www.sciencedirect.com/science/article/pii/S1532046415001276
\endverb
\endentry
\entry{LexiconSocSent}{inproceedings}{}
\name{author}{1}{}{%
{{hash=75d8d9e701bff6c60b3e05aa6c0c3f9f}{%
family={Chedia\bibnamedelima Dhaoui},
familyi={C\bibinitperiod\bibinitdelim D\bibinitperiod},
given={Lay\bibnamedelimb Peng\bibnamedelima Tan},
giveni={L\bibinitperiod\bibinitdelim P\bibinitperiod\bibinitdelim T\bibinitperiod},
suffix={Cynthia\bibnamedelimb M.\bibnamedelimi Webster},
suffixi={C\bibinitperiod\bibinitdelim M\bibinitperiod\bibinitdelim W\bibinitperiod}}}%
}
\list{organization}{1}{%
{Emerald Insight}%
}
\strng{namehash}{75d8d9e701bff6c60b3e05aa6c0c3f9f}
\strng{fullhash}{75d8d9e701bff6c60b3e05aa6c0c3f9f}
\strng{bibnamehash}{75d8d9e701bff6c60b3e05aa6c0c3f9f}
\strng{authorbibnamehash}{75d8d9e701bff6c60b3e05aa6c0c3f9f}
\strng{authornamehash}{75d8d9e701bff6c60b3e05aa6c0c3f9f}
\strng{authorfullhash}{75d8d9e701bff6c60b3e05aa6c0c3f9f}
\field{sortinit}{1}
\field{sortinithash}{2174f786c6195e7fe2ee1c229b416e29}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{Journal of Consumer Marketing, Volume 34. Issue 6}
\field{title}{Social media sentiment analysis: lexicon versus machine learning}
\field{year}{2017}
\verb{urlraw}
\verb https://www.emeraldinsight.com/doi/pdfplus/10.1108/JCM-03-2017-2141
\endverb
\verb{url}
\verb https://www.emeraldinsight.com/doi/pdfplus/10.1108/JCM-03-2017-2141
\endverb
\endentry
\entry{VADERPaper}{inproceedings}{}
\name{author}{2}{}{%
{{hash=45764413ab79a1c3696604be19148c89}{%
family={Hutto},
familyi={H\bibinitperiod},
given={C.J.},
giveni={C\bibinitperiod}}}%
{{hash=c3163690c9103d2541d6910886053ba6}{%
family={Gilbert},
familyi={G\bibinitperiod},
given={Eric},
giveni={E\bibinitperiod}}}%
}
\list{organization}{1}{%
{Ann Arbor, MI}%
}
\strng{namehash}{13e8125b59ac4c2baf7ccab9e513e9a5}
\strng{fullhash}{13e8125b59ac4c2baf7ccab9e513e9a5}
\strng{bibnamehash}{13e8125b59ac4c2baf7ccab9e513e9a5}
\strng{authorbibnamehash}{13e8125b59ac4c2baf7ccab9e513e9a5}
\strng{authornamehash}{13e8125b59ac4c2baf7ccab9e513e9a5}
\strng{authorfullhash}{13e8125b59ac4c2baf7ccab9e513e9a5}
\field{sortinit}{2}
\field{sortinithash}{cbff857e587bcb4635511624d773949e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{Eighth International Conference on Weblogs and Social Media (ICWSM-14)}
\field{title}{VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text}
\field{year}{2014}
\verb{urlraw}
\verb https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/download/8109/8122
\endverb
\verb{url}
\verb https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/download/8109/8122
\endverb
\endentry
\entry{WisCrowds}{inproceedings}{}
\name{author}{1}{}{%
{{hash=47a5d7268039bf86cea626bcaefd4877}{%
family={Kenton},
familyi={K\bibinitperiod},
given={Will},
giveni={W\bibinitperiod}}}%
}
\list{organization}{1}{%
{Investopedia}%
}
\strng{namehash}{47a5d7268039bf86cea626bcaefd4877}
\strng{fullhash}{47a5d7268039bf86cea626bcaefd4877}
\strng{bibnamehash}{47a5d7268039bf86cea626bcaefd4877}
\strng{authorbibnamehash}{47a5d7268039bf86cea626bcaefd4877}
\strng{authornamehash}{47a5d7268039bf86cea626bcaefd4877}
\strng{authorfullhash}{47a5d7268039bf86cea626bcaefd4877}
\field{sortinit}{2}
\field{sortinithash}{cbff857e587bcb4635511624d773949e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Wisdom of Crowds}
\field{year}{2018}
\verb{urlraw}
\verb https://www.investopedia.com/terms/w/wisdom-crowds.asp
\endverb
\verb{url}
\verb https://www.investopedia.com/terms/w/wisdom-crowds.asp
\endverb
\endentry
\entry{NNDLBegin}{inproceedings}{}
\name{author}{1}{}{%
{{hash=98de2b3b288cf4bd291e8937e5e28c49}{%
family={Skymind},
familyi={S\bibinitperiod}}}%
}
\list{organization}{1}{%
{Skymind}%
}
\strng{namehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{fullhash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{bibnamehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{authorbibnamehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{authornamehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{authorfullhash}{98de2b3b288cf4bd291e8937e5e28c49}
\field{sortinit}{2}
\field{sortinithash}{cbff857e587bcb4635511624d773949e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{A.I. Wiki}
\field{title}{A Beginner's Guide to Neural Networks and Deep Learning}
\field{year}{2018}
\verb{urlraw}
\verb https://skymind.ai/wiki/neural-network
\endverb
\verb{url}
\verb https://skymind.ai/wiki/neural-network
\endverb
\endentry
\entry{WhatNN}{inproceedings}{}
\name{author}{1}{}{%
{{hash=b5590c43c6c12766886d1cdcae8c5fc3}{%
family={DeMuro},
familyi={D\bibinitperiod},
given={Jonas},
giveni={J\bibinitperiod}}}%
}
\list{organization}{1}{%
{techradar}%
}
\strng{namehash}{b5590c43c6c12766886d1cdcae8c5fc3}
\strng{fullhash}{b5590c43c6c12766886d1cdcae8c5fc3}
\strng{bibnamehash}{b5590c43c6c12766886d1cdcae8c5fc3}
\strng{authorbibnamehash}{b5590c43c6c12766886d1cdcae8c5fc3}
\strng{authornamehash}{b5590c43c6c12766886d1cdcae8c5fc3}
\strng{authorfullhash}{b5590c43c6c12766886d1cdcae8c5fc3}
\field{sortinit}{2}
\field{sortinithash}{cbff857e587bcb4635511624d773949e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{World of tech}
\field{title}{What is a neural network}
\field{year}{2018}
\verb{urlraw}
\verb https://www.techradar.com/uk/news/what-is-a-neural-network
\endverb
\verb{url}
\verb https://www.techradar.com/uk/news/what-is-a-neural-network
\endverb
\endentry
\entry{SupdictL}{inproceedings}{}
\name{author}{1}{}{%
{{hash=7ec8fd610c35dade82ca0d76c0e6a7ee}{%
family={Bach},
familyi={B\bibinitperiod},
given={F.R.},
giveni={F\bibinitperiod}}}%
}
\list{organization}{1}{%
{NIPS Proceedings}%
}
\strng{namehash}{7ec8fd610c35dade82ca0d76c0e6a7ee}
\strng{fullhash}{7ec8fd610c35dade82ca0d76c0e6a7ee}
\strng{bibnamehash}{7ec8fd610c35dade82ca0d76c0e6a7ee}
\strng{authorbibnamehash}{7ec8fd610c35dade82ca0d76c0e6a7ee}
\strng{authornamehash}{7ec8fd610c35dade82ca0d76c0e6a7ee}
\strng{authorfullhash}{7ec8fd610c35dade82ca0d76c0e6a7ee}
\field{sortinit}{2}
\field{sortinithash}{cbff857e587bcb4635511624d773949e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{Advances in neural information processing systems}
\field{title}{Supervised dictionary learning}
\field{year}{2009}
\field{pages}{1033\bibrangedash 1040}
\range{pages}{8}
\verb{urlraw}
\verb http://papers.nips.cc/paper/3448-supervised-dictionary-learning
\endverb
\verb{url}
\verb http://papers.nips.cc/paper/3448-supervised-dictionary-learning
\endverb
\warn{\item Name "Mairal, J., Ponce, J., Sapiro, G., Zisserman, A." has too many commas: skipping name}
\endentry
\entry{ErrorProp}{inproceedings}{}
\name{author}{3}{}{%
{{hash=d198ae71c61c758b90826c452447133f}{%
family={Rumelhart},
familyi={R\bibinitperiod},
given={David\bibnamedelima E},
giveni={D\bibinitperiod\bibinitdelim E\bibinitperiod}}}%
{{hash=5aeb1de9b6c6f00a078230c628e6f41c}{%
family={Hinton},
familyi={H\bibinitperiod},
given={Geoffrey\bibnamedelima E},
giveni={G\bibinitperiod\bibinitdelim E\bibinitperiod}}}%
{{hash=f0fac00adb48128fc1f7750b2d8e7065}{%
family={Williams},
familyi={W\bibinitperiod},
given={Ronald\bibnamedelima J},
giveni={R\bibinitperiod\bibinitdelim J\bibinitperiod}}}%
}
\list{organization}{1}{%
{California Univ San Diego La Jolla Inst for Cognitive Science}%
}
\strng{namehash}{6c0c2652b5e4e9258c40ce50c5704c6b}
\strng{fullhash}{6c0c2652b5e4e9258c40ce50c5704c6b}
\strng{bibnamehash}{6c0c2652b5e4e9258c40ce50c5704c6b}
\strng{authorbibnamehash}{6c0c2652b5e4e9258c40ce50c5704c6b}
\strng{authornamehash}{6c0c2652b5e4e9258c40ce50c5704c6b}
\strng{authorfullhash}{6c0c2652b5e4e9258c40ce50c5704c6b}
\field{sortinit}{3}
\field{sortinithash}{a4b52e5432884761f50fb9571273b93e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Learning internal representations by error propagation}
\field{year}{1985}
\verb{urlraw}
\verb https://apps.dtic.mil/docs/citations/ADA164453
\endverb
\verb{url}
\verb https://apps.dtic.mil/docs/citations/ADA164453
\endverb
\endentry
\entry{BeginLSTMRNN}{inproceedings}{}
\name{author}{1}{}{%
{{hash=98de2b3b288cf4bd291e8937e5e28c49}{%
family={Skymind},
familyi={S\bibinitperiod}}}%
}
\list{organization}{1}{%
{Skymind}%
}
\strng{namehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{fullhash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{bibnamehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{authorbibnamehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{authornamehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{authorfullhash}{98de2b3b288cf4bd291e8937e5e28c49}
\field{sortinit}{3}
\field{sortinithash}{a4b52e5432884761f50fb9571273b93e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{A.I. Wiki}
\field{title}{A Beginner's Guide to LSTMs and Recurrent Neural Networks}
\field{year}{2018}
\verb{urlraw}
\verb https://skymind.ai/wiki/lstm
\endverb
\verb{url}
\verb https://skymind.ai/wiki/lstm
\endverb
\endentry
\entry{RNNLSTMtds}{inproceedings}{}
\name{author}{1}{}{%
{{hash=ad6e7c0188bc1f913c6dad630fde9e39}{%
family={Donges},
familyi={D\bibinitperiod},
given={Niklas},
giveni={N\bibinitperiod}}}%
}
\list{organization}{1}{%
{Towards Data Science}%
}
\strng{namehash}{ad6e7c0188bc1f913c6dad630fde9e39}
\strng{fullhash}{ad6e7c0188bc1f913c6dad630fde9e39}
\strng{bibnamehash}{ad6e7c0188bc1f913c6dad630fde9e39}
\strng{authorbibnamehash}{ad6e7c0188bc1f913c6dad630fde9e39}
\strng{authornamehash}{ad6e7c0188bc1f913c6dad630fde9e39}
\strng{authorfullhash}{ad6e7c0188bc1f913c6dad630fde9e39}
\field{sortinit}{3}
\field{sortinithash}{a4b52e5432884761f50fb9571273b93e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Recurrent Neural Networks and LSTM}
\field{year}{2018}
\verb{urlraw}
\verb https://towardsdatascience.com/recurrent-neural-networks-and-lstm-4b601dd822a5
\endverb
\verb{url}
\verb https://towardsdatascience.com/recurrent-neural-networks-and-lstm-4b601dd822a5
\endverb
\endentry
\entry{NNEgrad}{inproceedings}{}
\name{author}{1}{}{%
{{hash=37ec6490760a0f7d5715b2e904f6cf20}{%
family={Jason\bibnamedelima Brownlee},
familyi={J\bibinitperiod\bibinitdelim B\bibinitperiod},
given={PhD.},
giveni={P\bibinitperiod}}}%
}
\list{organization}{1}{%
{Machine Larning Mastery}%
}
\strng{namehash}{37ec6490760a0f7d5715b2e904f6cf20}
\strng{fullhash}{37ec6490760a0f7d5715b2e904f6cf20}
\strng{bibnamehash}{37ec6490760a0f7d5715b2e904f6cf20}
\strng{authorbibnamehash}{37ec6490760a0f7d5715b2e904f6cf20}
\strng{authornamehash}{37ec6490760a0f7d5715b2e904f6cf20}
\strng{authorfullhash}{37ec6490760a0f7d5715b2e904f6cf20}
\field{sortinit}{3}
\field{sortinithash}{a4b52e5432884761f50fb9571273b93e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{A Gentle Introduction to Exploding Gradients in Neural Networks}
\field{year}{2017}
\verb{urlraw}
\verb https://machinelearningmastery.com/exploding-gradients-in-neural-networks/
\endverb
\verb{url}
\verb https://machinelearningmastery.com/exploding-gradients-in-neural-networks/
\endverb
\endentry
\entry{RNNvanishGrad}{inproceedings}{}
\name{author}{1}{}{%
{{hash=2397822f564bc95b5d3e07a3cc633029}{%
family={Team},
familyi={T\bibinitperiod},
given={Super\bibnamedelimb Data\bibnamedelima Science},
giveni={S\bibinitperiod\bibinitdelim D\bibinitperiod\bibinitdelim S\bibinitperiod}}}%
}
\list{organization}{1}{%
{Super Data Science}%
}
\strng{namehash}{2397822f564bc95b5d3e07a3cc633029}
\strng{fullhash}{2397822f564bc95b5d3e07a3cc633029}
\strng{bibnamehash}{2397822f564bc95b5d3e07a3cc633029}
\strng{authorbibnamehash}{2397822f564bc95b5d3e07a3cc633029}
\strng{authornamehash}{2397822f564bc95b5d3e07a3cc633029}
\strng{authorfullhash}{2397822f564bc95b5d3e07a3cc633029}
\field{sortinit}{3}
\field{sortinithash}{a4b52e5432884761f50fb9571273b93e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Recurrent Neural Networks (RNN) - The Vanishing Gradient Problem}
\field{year}{2018}
\verb{urlraw}
\verb https://www.superdatascience.com/blogs/recurrent-neural-networks-rnn-the-vanishing-gradient-problem
\endverb
\verb{url}
\verb https://www.superdatascience.com/blogs/recurrent-neural-networks-rnn-the-vanishing-gradient-problem
\endverb
\endentry
\entry{LSTM}{inproceedings}{}
\name{author}{2}{}{%
{{hash=41b31e29fb2bdbf9f5c9c1b0d5b3e815}{%
family={Hochreiter},
familyi={H\bibinitperiod},
given={Sepp},
giveni={S\bibinitperiod}}}%
{{hash=c3a004dc2b8b6fb4dd79c5b8c1469da7}{%
family={Schmidhuber},
familyi={S\bibinitperiod},
given={Jurgen},
giveni={J\bibinitperiod}}}%
}
\list{organization}{1}{%
{MIT Press}%
}
\strng{namehash}{ed8d27cce26f5380dbdf235ccef1a4f6}
\strng{fullhash}{ed8d27cce26f5380dbdf235ccef1a4f6}
\strng{bibnamehash}{ed8d27cce26f5380dbdf235ccef1a4f6}
\strng{authorbibnamehash}{ed8d27cce26f5380dbdf235ccef1a4f6}
\strng{authornamehash}{ed8d27cce26f5380dbdf235ccef1a4f6}
\strng{authorfullhash}{ed8d27cce26f5380dbdf235ccef1a4f6}
\field{sortinit}{3}
\field{sortinithash}{a4b52e5432884761f50fb9571273b93e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{Neural computation, Volume 9. 8}
\field{title}{Long short-term memory}
\field{year}{1997}
\field{pages}{1735\bibrangedash 1780}
\range{pages}{46}
\verb{urlraw}
\verb https://www.bioinf.jku.at/publications/older/2604.pdf
\endverb
\verb{url}
\verb https://www.bioinf.jku.at/publications/older/2604.pdf
\endverb
\endentry
\entry{LSTMdia}{inproceedings}{}
\name{author}{1}{}{%
{{hash=9979e7c606c1876cb09cf32b78628d71}{%
family={Yan},
familyi={Y\bibinitperiod},
given={Shi},
giveni={S\bibinitperiod}}}%
}
\list{organization}{1}{%
{Medium}%
}
\strng{namehash}{9979e7c606c1876cb09cf32b78628d71}
\strng{fullhash}{9979e7c606c1876cb09cf32b78628d71}
\strng{bibnamehash}{9979e7c606c1876cb09cf32b78628d71}
\strng{authorbibnamehash}{9979e7c606c1876cb09cf32b78628d71}
\strng{authornamehash}{9979e7c606c1876cb09cf32b78628d71}
\strng{authorfullhash}{9979e7c606c1876cb09cf32b78628d71}
\field{sortinit}{3}
\field{sortinithash}{a4b52e5432884761f50fb9571273b93e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Understanding LSTM and its diagrams}
\field{year}{Mar 13, 2016}
\verb{urlraw}
\verb https://medium.com/mlreview/understanding-lstm-and-its-diagrams-37e2f46f1714
\endverb
\verb{url}
\verb https://medium.com/mlreview/understanding-lstm-and-its-diagrams-37e2f46f1714
\endverb
\endentry
\entry{LSTMmaths}{inproceedings}{}
\name{author}{1}{}{%
{{hash=dea937fb216bfbba25c1bfa1f36a63fe}{%
family={Olah},
familyi={O\bibinitperiod},
given={Christopher},
giveni={C\bibinitperiod}}}%
}
\strng{namehash}{dea937fb216bfbba25c1bfa1f36a63fe}
\strng{fullhash}{dea937fb216bfbba25c1bfa1f36a63fe}
\strng{bibnamehash}{dea937fb216bfbba25c1bfa1f36a63fe}
\strng{authorbibnamehash}{dea937fb216bfbba25c1bfa1f36a63fe}
\strng{authornamehash}{dea937fb216bfbba25c1bfa1f36a63fe}
\strng{authorfullhash}{dea937fb216bfbba25c1bfa1f36a63fe}
\field{sortinit}{4}
\field{sortinithash}{11cdaee3b18e01d77f3f428b13c1fc76}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Understanding LSTM Networks}
\field{year}{2015}
\verb{urlraw}
\verb https://colah.github.io/posts/2015-08-Understanding-LSTMs
\endverb
\verb{url}
\verb https://colah.github.io/posts/2015-08-Understanding-LSTMs
\endverb
\endentry
\entry{LSTMforetime}{inproceedings}{}
\name{author}{1}{}{%
{{hash=7b57587d26dd7e449dd94fd493bd072e}{%
family={Kompella},
familyi={K\bibinitperiod},
given={Ravindra},
giveni={R\bibinitperiod}}}%
}
\list{organization}{1}{%
{Towards Data Science}%
}
\strng{namehash}{7b57587d26dd7e449dd94fd493bd072e}
\strng{fullhash}{7b57587d26dd7e449dd94fd493bd072e}
\strng{bibnamehash}{7b57587d26dd7e449dd94fd493bd072e}
\strng{authorbibnamehash}{7b57587d26dd7e449dd94fd493bd072e}
\strng{authornamehash}{7b57587d26dd7e449dd94fd493bd072e}
\strng{authorfullhash}{7b57587d26dd7e449dd94fd493bd072e}
\field{sortinit}{4}
\field{sortinithash}{11cdaee3b18e01d77f3f428b13c1fc76}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Using LSTMs to forecast time-series}
\field{year}{2018}
\verb{urlraw}
\verb https://towardsdatascience.com/using-lstms-to-forecast-time-series-4ab688386b1f
\endverb
\verb{url}
\verb https://towardsdatascience.com/using-lstms-to-forecast-time-series-4ab688386b1f
\endverb
\endentry
\entry{TensorFlow}{inproceedings}{}
\true{moreauthor}
\true{morelabelname}
\name{author}{10}{}{%
{{hash=f39ffee58f8a71d84d8b13c05804b2cc}{%
family={Abadi},
familyi={A\bibinitperiod},
given={Martin},
giveni={M\bibinitperiod}}}%
{{hash=08cf514c08137f94d73b590060797f5b}{%
family={Barham},
familyi={B\bibinitperiod},
given={Paul},
giveni={P\bibinitperiod}}}%
{{hash=f756003cc97f5981d94995af3bd6862b}{%
family={Chen},
familyi={C\bibinitperiod},
given={Jianmin},
giveni={J\bibinitperiod}}}%
{{hash=c0d10aaf985cebf8d0497e1828f9313f}{%
family={Chen},
familyi={C\bibinitperiod},
given={Zhifeng},
giveni={Z\bibinitperiod}}}%
{{hash=a4c859221cc41e2db6d63b486f955ba2}{%
family={Davis},
familyi={D\bibinitperiod},
given={Andy},
giveni={A\bibinitperiod}}}%
{{hash=4aecfb0cc2e1e3b7899129fa2a94e2b8}{%
family={Dean},
familyi={D\bibinitperiod},
given={Jeffrey},
giveni={J\bibinitperiod}}}%
{{hash=bd7f88635b51bc5abb3d5a2cab967724}{%
family={Devin},
familyi={D\bibinitperiod},
given={Matthieu},
giveni={M\bibinitperiod}}}%
{{hash=193bcec5240237591ad8fb697869f013}{%
family={Ghemawat},
familyi={G\bibinitperiod},
given={Sanjay},
giveni={S\bibinitperiod}}}%
{{hash=edc6964c6549e1839ca94d3d61e03f76}{%
family={Irving},
familyi={I\bibinitperiod},
given={Geoffrey},
giveni={G\bibinitperiod}}}%
{{hash=3b62e7eedeec9f7a7f7f3c3ec88637f1}{%
family={Isard},
familyi={I\bibinitperiod},
given={Michael},
giveni={M\bibinitperiod}}}%
}
\strng{namehash}{b31f3ca11dddb24e6b0c63e696a45964}
\strng{fullhash}{cc9892165155439016b19b3aff73bf28}
\strng{bibnamehash}{cc9892165155439016b19b3aff73bf28}
\strng{authorbibnamehash}{cc9892165155439016b19b3aff73bf28}
\strng{authornamehash}{b31f3ca11dddb24e6b0c63e696a45964}
\strng{authorfullhash}{cc9892165155439016b19b3aff73bf28}
\field{sortinit}{4}
\field{sortinithash}{11cdaee3b18e01d77f3f428b13c1fc76}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{12th Symposium on Operating Systems Design and Implementation 16)}
\field{title}{Tensorflow: A system for large-scale machine learning}
\field{year}{2016}
\field{pages}{265\bibrangedash 283}
\range{pages}{19}
\verb{urlraw}
\verb https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf
\endverb
\verb{url}
\verb https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf
\endverb
\endentry
\entry{OptSGD}{inproceedings}{}
\name{author}{1}{}{%
{{hash=45ebe6bd838f67040a398bf6fd40841d}{%
family={Stanford},
familyi={S\bibinitperiod}}}%
}
\strng{namehash}{45ebe6bd838f67040a398bf6fd40841d}
\strng{fullhash}{45ebe6bd838f67040a398bf6fd40841d}
\strng{bibnamehash}{45ebe6bd838f67040a398bf6fd40841d}
\strng{authorbibnamehash}{45ebe6bd838f67040a398bf6fd40841d}
\strng{authornamehash}{45ebe6bd838f67040a398bf6fd40841d}
\strng{authorfullhash}{45ebe6bd838f67040a398bf6fd40841d}
\field{sortinit}{4}
\field{sortinithash}{11cdaee3b18e01d77f3f428b13c1fc76}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{UFLDL Tutorial}
\field{title}{Optimization: Stochastic Gradient Descent}
\verb{urlraw}
\verb http://deeplearning.stanford.edu/tutorial/supervised/OptimizationStochasticGradientDescent
\endverb
\verb{url}
\verb http://deeplearning.stanford.edu/tutorial/supervised/OptimizationStochasticGradientDescent
\endverb
\endentry
\entry{Optimisers}{inproceedings}{}
\name{author}{1}{}{%
{{hash=cec3f268402d95f21749575ae2e51941}{%
family={Mitra},
familyi={M\bibinitperiod},
given={Rajarshee},
giveni={R\bibinitperiod}}}%
}
\list{organization}{1}{%
{Quora}%
}
\strng{namehash}{cec3f268402d95f21749575ae2e51941}
\strng{fullhash}{cec3f268402d95f21749575ae2e51941}
\strng{bibnamehash}{cec3f268402d95f21749575ae2e51941}
\strng{authorbibnamehash}{cec3f268402d95f21749575ae2e51941}
\strng{authornamehash}{cec3f268402d95f21749575ae2e51941}
\strng{authorfullhash}{cec3f268402d95f21749575ae2e51941}
\field{sortinit}{4}
\field{sortinithash}{11cdaee3b18e01d77f3f428b13c1fc76}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{What are differences between update rules like AdaDelta, RMSProp, AdaGrad, and Adam}
\field{year}{2016}
\verb{urlraw}
\verb https://www.quora.com/What-are-differences-between-update-rules-like-AdaDelta-RMSProp-AdaGrad-and-AdaM
\endverb
\verb{url}
\verb https://www.quora.com/What-are-differences-between-update-rules-like-AdaDelta-RMSProp-AdaGrad-and-AdaM
\endverb
\endentry
\entry{OptVariants}{inproceedings}{}
\name{author}{2}{}{%
{{hash=ce674b69f5902bcf643d2e5e3b08dd23}{%
family={Mukkamala},
familyi={M\bibinitperiod},
given={Mahesh\bibnamedelima Chandra},
giveni={M\bibinitperiod\bibinitdelim C\bibinitperiod}}}%
{{hash=9e3f4c60354fda4d9127485afba87230}{%
family={Hein},
familyi={H\bibinitperiod},
given={Matthias},
giveni={M\bibinitperiod}}}%
}
\list{organization}{1}{%
{JMLR.org}%
}
\strng{namehash}{c691bd5abb6bb43a969220eea3e851ec}
\strng{fullhash}{c691bd5abb6bb43a969220eea3e851ec}
\strng{bibnamehash}{c691bd5abb6bb43a969220eea3e851ec}
\strng{authorbibnamehash}{c691bd5abb6bb43a969220eea3e851ec}
\strng{authornamehash}{c691bd5abb6bb43a969220eea3e851ec}
\strng{authorfullhash}{c691bd5abb6bb43a969220eea3e851ec}
\field{sortinit}{5}
\field{sortinithash}{3c19c3776b658b3558e9e2e4840c01e2}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{Proceedings of the 34th International Conference on Machine Learning-Volume 70}
\field{title}{Variants of rmsprop and adagrad with logarithmic regret bounds}
\field{year}{2017}
\field{pages}{2545\bibrangedash 2553}
\range{pages}{9}
\verb{urlraw}
\verb https://arxiv.org/pdf/1706.05507.pdf
\endverb
\verb{url}
\verb https://arxiv.org/pdf/1706.05507.pdf
\endverb
\endentry
\entry{OverOpt}{inproceedings}{}
\name{author}{1}{}{%
{{hash=fd768606d546daa3f555605b7786517f}{%
family={Khandelwal},
familyi={K\bibinitperiod},
given={Renu},
giveni={R\bibinitperiod}}}%
}
\list{organization}{1}{%
{Medium}%
}
\strng{namehash}{fd768606d546daa3f555605b7786517f}
\strng{fullhash}{fd768606d546daa3f555605b7786517f}
\strng{bibnamehash}{fd768606d546daa3f555605b7786517f}
\strng{authorbibnamehash}{fd768606d546daa3f555605b7786517f}
\strng{authornamehash}{fd768606d546daa3f555605b7786517f}
\strng{authorfullhash}{fd768606d546daa3f555605b7786517f}
\field{sortinit}{5}
\field{sortinithash}{3c19c3776b658b3558e9e2e4840c01e2}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Overview of different Optimizers for neural networks}
\field{year}{2019}
\verb{urlraw}
\verb https://medium.com/datadriveninvestor/overview-of-different-optimizers-for-neural-networks-e0ed119440c3
\endverb
\verb{url}
\verb https://medium.com/datadriveninvestor/overview-of-different-optimizers-for-neural-networks-e0ed119440c3
\endverb
\endentry
\entry{Adam}{inproceedings}{}
\name{author}{1}{}{%
{{hash=2d6d5b61ff3872dbfed3eb5cbb52e470}{%
family={Diederik\bibnamedelimb P.\bibnamedelimi Kingma},
familyi={D\bibinitperiod\bibinitdelim P\bibinitperiod\bibinitdelim K\bibinitperiod},
given={Jimmy\bibnamedelimb Lei\bibnamedelima Ba},
giveni={J\bibinitperiod\bibinitdelim L\bibinitperiod\bibinitdelim B\bibinitperiod}}}%
}
\list{organization}{1}{%
{arXiv}%
}
\strng{namehash}{2d6d5b61ff3872dbfed3eb5cbb52e470}
\strng{fullhash}{2d6d5b61ff3872dbfed3eb5cbb52e470}
\strng{bibnamehash}{2d6d5b61ff3872dbfed3eb5cbb52e470}
\strng{authorbibnamehash}{2d6d5b61ff3872dbfed3eb5cbb52e470}
\strng{authornamehash}{2d6d5b61ff3872dbfed3eb5cbb52e470}
\strng{authorfullhash}{2d6d5b61ff3872dbfed3eb5cbb52e470}
\field{sortinit}{5}
\field{sortinithash}{3c19c3776b658b3558e9e2e4840c01e2}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{arXiv preprint arXiv:1412.6980}
\field{title}{Adam: A method for Stochastic Optimization}
\field{year}{2014}
\verb{urlraw}
\verb https://arxiv.org/pdf/1412.6980.pdf
\endverb
\verb{url}
\verb https://arxiv.org/pdf/1412.6980.pdf
\endverb
\endentry
\entry{StudyNBC}{inproceedings}{}
\true{moreauthor}
\true{morelabelname}
\name{author}{1}{}{%
{{hash=7711557abf7c3d508d1fa84cab27626e}{%
family={Rish},
familyi={R\bibinitperiod},
given={Irina},
giveni={I\bibinitperiod}}}%
}
\strng{namehash}{baa9695b2bf77f7b33bb07b5d116d7e1}
\strng{fullhash}{baa9695b2bf77f7b33bb07b5d116d7e1}
\strng{bibnamehash}{baa9695b2bf77f7b33bb07b5d116d7e1}
\strng{authorbibnamehash}{baa9695b2bf77f7b33bb07b5d116d7e1}
\strng{authornamehash}{baa9695b2bf77f7b33bb07b5d116d7e1}
\strng{authorfullhash}{baa9695b2bf77f7b33bb07b5d116d7e1}
\field{sortinit}{5}
\field{sortinithash}{3c19c3776b658b3558e9e2e4840c01e2}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{IJCAI 2001 workshop on empirical methods in artificial intelligence}
\field{number}{22}
\field{title}{An empirical study of the naive Bayes classifier}
\field{volume}{3}
\field{year}{2001}
\field{pages}{41\bibrangedash 46}
\range{pages}{6}
\verb{urlraw}
\verb https://www.cc.gatech.edu/~isbell/reading/papers/Rish.pdf
\endverb
\verb{url}
\verb https://www.cc.gatech.edu/~isbell/reading/papers/Rish.pdf
\endverb
\endentry
\entry{TFIDFBOW}{inproceedings}{}
\name{author}{1}{}{%
{{hash=98de2b3b288cf4bd291e8937e5e28c49}{%
family={Skymind},
familyi={S\bibinitperiod}}}%
}
\list{organization}{1}{%
{Skymind}%
}
\strng{namehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{fullhash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{bibnamehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{authorbibnamehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{authornamehash}{98de2b3b288cf4bd291e8937e5e28c49}
\strng{authorfullhash}{98de2b3b288cf4bd291e8937e5e28c49}
\field{sortinit}{5}
\field{sortinithash}{3c19c3776b658b3558e9e2e4840c01e2}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{booktitle}{A.I Wiki}
\field{title}{A Beginner's Guide to Bag of Words and TF-IDF}
\field{year}{2018}
\verb{urlraw}
\verb https://skymind.ai/wiki/bagofwords-tf-idf
\endverb
\verb{url}
\verb https://skymind.ai/wiki/bagofwords-tf-idf
\endverb
\endentry
\entry{SpamCScratch}{inproceedings}{}
\name{author}{1}{}{%
{{hash=66cc3e81d0437f8fcef4bb3cb3294bc5}{%
family={Karmali},
familyi={K\bibinitperiod},
given={Tejan},
giveni={T\bibinitperiod}}}%
}
\list{organization}{1}{%
{Towards Data Science}%
}
\strng{namehash}{66cc3e81d0437f8fcef4bb3cb3294bc5}
\strng{fullhash}{66cc3e81d0437f8fcef4bb3cb3294bc5}
\strng{bibnamehash}{66cc3e81d0437f8fcef4bb3cb3294bc5}
\strng{authorbibnamehash}{66cc3e81d0437f8fcef4bb3cb3294bc5}
\strng{authornamehash}{66cc3e81d0437f8fcef4bb3cb3294bc5}
\strng{authorfullhash}{66cc3e81d0437f8fcef4bb3cb3294bc5}
\field{sortinit}{6}
\field{sortinithash}{57e57fb8451e7fcfa45d1e069f6d3136}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Spam Classifier in Python from scratch}
\field{year}{Aug 2, 2017}
\verb{urlraw}
\verb https://towardsdatascience.com/spam-classifier-in-python-from-scratch-27a98ddd8e73
\endverb
\verb{url}
\verb https://towardsdatascience.com/spam-classifier-in-python-from-scratch-27a98ddd8e73
\endverb
\endentry
\entry{RMSEMAE}{inproceedings}{}
\name{author}{1}{}{%
{{hash=4557151fc83b7534d523a502a84a9c9c}{%
family={Swalin},
familyi={S\bibinitperiod},
given={Alvira},
giveni={A\bibinitperiod}}}%
}
\list{organization}{1}{%
{Medium}%
}
\strng{namehash}{4557151fc83b7534d523a502a84a9c9c}
\strng{fullhash}{4557151fc83b7534d523a502a84a9c9c}
\strng{bibnamehash}{4557151fc83b7534d523a502a84a9c9c}
\strng{authorbibnamehash}{4557151fc83b7534d523a502a84a9c9c}
\strng{authornamehash}{4557151fc83b7534d523a502a84a9c9c}
\strng{authorfullhash}{4557151fc83b7534d523a502a84a9c9c}
\field{sortinit}{6}
\field{sortinithash}{57e57fb8451e7fcfa45d1e069f6d3136}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Choosing the Right Metric for Evaluating Machine Learning Models}
\field{year}{Apr 7, 2018}
\verb{urlraw}
\verb https://medium.com/usf-msds/choosing-the-right-metric-for-machine-learning-models-part-1-a99d7d7414e4
\endverb
\verb{url}
\verb https://medium.com/usf-msds/choosing-the-right-metric-for-machine-learning-models-part-1-a99d7d7414e4
\endverb
\endentry
\entry{MSE}{inproceedings}{}
\name{author}{1}{}{%
{{hash=ef4b13671a2486f2f568d40a7a46a066}{%
family={Binieli},
familyi={B\bibinitperiod},
given={Moshe},
giveni={M\bibinitperiod}}}%
}
\list{organization}{1}{%
{Medium}%
}
\strng{namehash}{ef4b13671a2486f2f568d40a7a46a066}
\strng{fullhash}{ef4b13671a2486f2f568d40a7a46a066}
\strng{bibnamehash}{ef4b13671a2486f2f568d40a7a46a066}
\strng{authorbibnamehash}{ef4b13671a2486f2f568d40a7a46a066}
\strng{authornamehash}{ef4b13671a2486f2f568d40a7a46a066}
\strng{authorfullhash}{ef4b13671a2486f2f568d40a7a46a066}
\field{sortinit}{6}
\field{sortinithash}{57e57fb8451e7fcfa45d1e069f6d3136}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Machine learning: an introduction to mean squared error and regression lines}
\field{year}{Oct 16, 2018}
\verb{urlraw}
\verb https://medium.freecodecamp.org/machine-learning-mean-squared-error-regression-line-c7dde9a26b93
\endverb
\verb{url}
\verb https://medium.freecodecamp.org/machine-learning-mean-squared-error-regression-line-c7dde9a26b93
\endverb
\endentry
\entry{MAPE}{inproceedings}{}
\name{author}{1}{}{%
{{hash=d764afef638302d6579ce78222a92818}{%
family={Stephanie},
familyi={S\bibinitperiod}}}%
}
\list{organization}{1}{%
{Statistics HowTo}%
}
\strng{namehash}{d764afef638302d6579ce78222a92818}
\strng{fullhash}{d764afef638302d6579ce78222a92818}
\strng{bibnamehash}{d764afef638302d6579ce78222a92818}
\strng{authorbibnamehash}{d764afef638302d6579ce78222a92818}
\strng{authornamehash}{d764afef638302d6579ce78222a92818}
\strng{authorfullhash}{d764afef638302d6579ce78222a92818}
\field{sortinit}{6}
\field{sortinithash}{57e57fb8451e7fcfa45d1e069f6d3136}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Mean absolute percentage error (MAPE)}
\field{year}{Sep 8, 2017}
\verb{urlraw}
\verb https://www.statisticshowto.datasciencecentral.com/mean-absolute-percentage-error-mape/
\endverb
\verb{url}
\verb https://www.statisticshowto.datasciencecentral.com/mean-absolute-percentage-error-mape/
\endverb
\endentry
\entry{TweepyDoc}{inproceedings}{}
\name{author}{1}{}{%
{{hash=1e48a059b3f2c3703bea8d54a9e002c9}{%
family={Roesslein},
familyi={R\bibinitperiod},
given={Joshua},
giveni={J\bibinitperiod}}}%
}
\strng{namehash}{1e48a059b3f2c3703bea8d54a9e002c9}
\strng{fullhash}{1e48a059b3f2c3703bea8d54a9e002c9}
\strng{bibnamehash}{1e48a059b3f2c3703bea8d54a9e002c9}
\strng{authorbibnamehash}{1e48a059b3f2c3703bea8d54a9e002c9}
\strng{authornamehash}{1e48a059b3f2c3703bea8d54a9e002c9}
\strng{authorfullhash}{1e48a059b3f2c3703bea8d54a9e002c9}
\field{sortinit}{6}
\field{sortinithash}{57e57fb8451e7fcfa45d1e069f6d3136}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Tweepy Documentation}
\field{year}{2009}
\verb{urlraw}
\verb http://docs.tweepy.org/en/v3.5.0/
\endverb
\verb{url}
\verb http://docs.tweepy.org/en/v3.5.0/
\endverb
\endentry
\entry{TFvsThe}{inproceedings}{}
\name{author}{1}{}{%
{{hash=974f50284a1994b00c1f04d211402eb0}{%
family={Deoras},
familyi={D\bibinitperiod},
given={Srishti},
giveni={S\bibinitperiod}}}%
}
\list{organization}{1}{%
{Analytics India}%
}
\strng{namehash}{974f50284a1994b00c1f04d211402eb0}
\strng{fullhash}{974f50284a1994b00c1f04d211402eb0}
\strng{bibnamehash}{974f50284a1994b00c1f04d211402eb0}
\strng{authorbibnamehash}{974f50284a1994b00c1f04d211402eb0}
\strng{authornamehash}{974f50284a1994b00c1f04d211402eb0}
\strng{authorfullhash}{974f50284a1994b00c1f04d211402eb0}
\field{sortinit}{7}
\field{sortinithash}{c818dd9105a2852444fc9f5e145c294e}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Tensorflow Vs. Theano: What Do Researchers Prefer As An Artificial Intelligence Framework}
\field{year}{2017}
\verb{urlraw}
\verb https://www.analyticsindiamag.com/tensorflow-vs-theano-researchers-prefer-artificial-intelligence-framework
\endverb
\verb{url}
\verb https://www.analyticsindiamag.com/tensorflow-vs-theano-researchers-prefer-artificial-intelligence-framework
\endverb
\endentry
\entry{btcCharts}{inproceedings}{}
\name{author}{1}{}{%
{{hash=9fb73450a6ae06fd7652db34b9a3c981}{%
family={bitcoincharts},
familyi={b\bibinitperiod}}}%
}
\list{organization}{1}{%
{Bitcoin Charts}%
}
\strng{namehash}{9fb73450a6ae06fd7652db34b9a3c981}
\strng{fullhash}{9fb73450a6ae06fd7652db34b9a3c981}
\strng{bibnamehash}{9fb73450a6ae06fd7652db34b9a3c981}
\strng{authorbibnamehash}{9fb73450a6ae06fd7652db34b9a3c981}
\strng{authornamehash}{9fb73450a6ae06fd7652db34b9a3c981}
\strng{authorfullhash}{9fb73450a6ae06fd7652db34b9a3c981}
\field{sortinit}{7}
\field{sortinithash}{c818dd9105a2852444fc9f5e145c294e}
\field{labelnamesource}{author}
\verb{urlraw}
\verb http://api.bitcoincharts.com/v1/csv/
\endverb
\verb{url}
\verb http://api.bitcoincharts.com/v1/csv/
\endverb
\endentry
\entry{langdectNLTK}{inproceedings}{}
\name{author}{1}{}{%
{{hash=41b3b5daa9b33f52b08087b54f96f115}{%
family={Nolla},
familyi={N\bibinitperiod},
given={Alejandro},
giveni={A\bibinitperiod}}}%
}
\list{organization}{1}{%
{Alejandro Nolla Blog}%
}
\strng{namehash}{41b3b5daa9b33f52b08087b54f96f115}
\strng{fullhash}{41b3b5daa9b33f52b08087b54f96f115}
\strng{bibnamehash}{41b3b5daa9b33f52b08087b54f96f115}
\strng{authorbibnamehash}{41b3b5daa9b33f52b08087b54f96f115}
\strng{authornamehash}{41b3b5daa9b33f52b08087b54f96f115}
\strng{authorfullhash}{41b3b5daa9b33f52b08087b54f96f115}
\field{sortinit}{8}
\field{sortinithash}{07edf88d4ea82509b9c4b4d13f41c452}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Detecting Text Language With Python and NLTK}
\verb{urlraw}
\verb http://blog.alejandronolla.com/2013/05/15/detecting-text-language-with-python-and-nltk/
\endverb
\verb{url}
\verb http://blog.alejandronolla.com/2013/05/15/detecting-text-language-with-python-and-nltk/
\endverb
\endentry
\entry{LanNgram}{inproceedings}{}
\name{author}{1}{}{%
{{hash=90ecaa1e27a33fbd3ab56223485ab402}{%
family={Cryptography},
familyi={C\bibinitperiod},
given={Practical},
giveni={P\bibinitperiod}}}%
}
\list{organization}{1}{%
{Practical Cryptography}%
}
\strng{namehash}{90ecaa1e27a33fbd3ab56223485ab402}
\strng{fullhash}{90ecaa1e27a33fbd3ab56223485ab402}
\strng{bibnamehash}{90ecaa1e27a33fbd3ab56223485ab402}
\strng{authorbibnamehash}{90ecaa1e27a33fbd3ab56223485ab402}
\strng{authornamehash}{90ecaa1e27a33fbd3ab56223485ab402}
\strng{authorfullhash}{90ecaa1e27a33fbd3ab56223485ab402}
\field{sortinit}{8}
\field{sortinithash}{07edf88d4ea82509b9c4b4d13f41c452}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{A tutorial on Automatic Language Identification - ngram based}
\verb{urlraw}
\verb http://practicalcryptography.com/miscellaneous/machine-learning/tutorial-automatic-language-identification-ngram-b/
\endverb
\verb{url}
\verb http://practicalcryptography.com/miscellaneous/machine-learning/tutorial-automatic-language-identification-ngram-b/
\endverb
\endentry
\entry{StemvsLem}{inproceedings}{}
\name{author}{1}{}{%
{{hash=b26f0ccdcc8e766bb4785cce3a550346}{%
family={Risueno},
familyi={R\bibinitperiod},
given={Tita},
giveni={T\bibinitperiod}}}%
}
\list{organization}{1}{%
{Bitext}%
}
\strng{namehash}{b26f0ccdcc8e766bb4785cce3a550346}
\strng{fullhash}{b26f0ccdcc8e766bb4785cce3a550346}
\strng{bibnamehash}{b26f0ccdcc8e766bb4785cce3a550346}
\strng{authorbibnamehash}{b26f0ccdcc8e766bb4785cce3a550346}
\strng{authornamehash}{b26f0ccdcc8e766bb4785cce3a550346}
\strng{authorfullhash}{b26f0ccdcc8e766bb4785cce3a550346}
\field{sortinit}{8}
\field{sortinithash}{07edf88d4ea82509b9c4b4d13f41c452}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{What is the difference between stemming and lemmatization}
\field{year}{Feb 26, 2018}
\verb{urlraw}
\verb https://blog.bitext.com/what-is-the-difference-between-stemming-and-lemmatization/
\endverb
\verb{url}
\verb https://blog.bitext.com/what-is-the-difference-between-stemming-and-lemmatization/
\endverb
\endentry
\entry{NValgor}{inproceedings}{}
\name{author}{1}{}{%
{{hash=f8880822642687df3e50f74258165974}{%
family={developers},
familyi={d\bibinitperiod},
prefix={scikit-learn},
prefixi={s\bibinithyphendelim l\bibinitperiod}}}%
}
\list{organization}{1}{%
{Scikit-Learn}%
}
\strng{namehash}{f8880822642687df3e50f74258165974}
\strng{fullhash}{f8880822642687df3e50f74258165974}
\strng{bibnamehash}{f8880822642687df3e50f74258165974}
\strng{authorbibnamehash}{f8880822642687df3e50f74258165974}
\strng{authornamehash}{f8880822642687df3e50f74258165974}
\strng{authorfullhash}{f8880822642687df3e50f74258165974}
\field{sortinit}{8}
\field{sortinithash}{07edf88d4ea82509b9c4b4d13f41c452}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Naive Bayes}
\verb{urlraw}
\verb https://scikit-learn.org/stable/modules/naive_bayes.html
\endverb
\verb{url}
\verb https://scikit-learn.org/stable/modules/naive_bayes.html
\endverb
\endentry
\entry{SpamOrHamGit}{inproceedings}{}
\name{author}{1}{}{%
{{hash=d757410543b5d3323e9db89d373ef2ac}{%
family={tejank10},
familyi={t\bibinitperiod},
given={Tejan\bibnamedelimb Karmali\bibnamedelima -},
giveni={T\bibinitperiod\bibinitdelim K\bibinitperiod\bibinitdelim \bibinithyphendelim \bibinithyphendelim \bibinitperiod}}}%
}
\list{organization}{1}{%
{Github}%
}
\strng{namehash}{d757410543b5d3323e9db89d373ef2ac}
\strng{fullhash}{d757410543b5d3323e9db89d373ef2ac}
\strng{bibnamehash}{d757410543b5d3323e9db89d373ef2ac}
\strng{authorbibnamehash}{d757410543b5d3323e9db89d373ef2ac}
\strng{authornamehash}{d757410543b5d3323e9db89d373ef2ac}
\strng{authorfullhash}{d757410543b5d3323e9db89d373ef2ac}
\field{sortinit}{8}
\field{sortinithash}{07edf88d4ea82509b9c4b4d13f41c452}
\field{labelnamesource}{author}
\field{labeltitlesource}{title}
\field{title}{Spam-or-Ham}
\field{year}{Aug 2, 2017}
\verb{urlraw}
\verb https://github.com/tejank10/Spam-or-Ham
\endverb
\verb{url}
\verb https://github.com/tejank10/Spam-or-Ham
\endverb
\endentry
\enddatalist
\endrefsection
\endinput