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book.bib
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@Book{ESL,
author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
biburl = {https://www.bibsonomy.org/bibtex/2f58afc5c9793fcc8ad8389824e57984c/sb3000},
publisher = {Springer New York Inc.},
series = {Springer Series in Statistics},
url = {http://web.stanford.edu/~hastie/ElemStatLearn/},
title = {The Elements of Statistical Learning},
year = 2017
}
@misc{Ngcoursera,
author = {Andrew Ng},
title = {Machine Learning},
howpublished = "\url{https://www.coursera.org/learn/machine-learning}",
year = {2017},
note = "Accessed 08/08/17",
}
@Book{ISL,
author = {James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert},
title = {An Introduction to Statistical Learning: With Applications in R},
year = {2014},
isbn = {1461471370, 9781461471370},
url ={http://www-bcf.usc.edu/~gareth/ISL/},
publisher = {Springer Publishing Company, Incorporated},
}
@Book{xie2015,
title = {Dynamic Documents with {R} and knitr},
author = {Yihui Xie},
publisher = {Chapman and Hall/CRC},
address = {Boca Raton, Florida},
year = {2015},
edition = {2nd},
note = {ISBN 978-1498716963},
url = {http://yihui.name/knitr/},
}
@article{breiman2001,
author = "Breiman, Leo",
doi = "10.1214/ss/1009213726",
fjournal = "Statistical Science",
journal = "Statist. Sci.",
month = "08",
number = "3",
pages = "199--231",
publisher = "The Institute of Mathematical Statistics",
title = "Statistical Modeling: The Two Cultures (with comments and a
rejoinder by the author)",
url = "http://dx.doi.org/10.1214/ss/1009213726",
volume = "16",
year = "2001"
}
@Book{Goodfellow-et-al-2016,
title={Deep Learning},
author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
publisher={MIT Press},
note={\url{http://www.deeplearningbook.org}},
year={2016}
}
@article{Srivastava:2014:DSW:2627435.2670313,
author = {Srivastava, Nitish and Hinton, Geoffrey and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan},
title = {Dropout: A Simple Way to Prevent Neural Networks from Overfitting},
journal = {J. Mach. Learn. Res.},
issue_date = {January 2014},
volume = {15},
number = {1},
month = jan,
year = {2014},
issn = {1532-4435},
pages = {1929--1958},
numpages = {30},
url = {http://dl.acm.org/citation.cfm?id=2627435.2670313},
acmid = {2670313},
publisher = {JMLR.org},
keywords = {deep learning, model combination, neural networks, regularization},
}
@article{DBLP:journals/corr/abs-1206-5533,
author = {Yoshua Bengio},
title = {Practical recommendations for gradient-based training of deep architectures},
journal = {CoRR},
volume = {abs/1206.5533},
year = {2012},
url = {http://arxiv.org/abs/1206.5533},
timestamp = {Wed, 07 Jun 2017 14:43:16 +0200},
biburl = {http://dblp.uni-trier.de/rec/bib/journals/corr/abs-1206-5533},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@book{Bishop,
author = {Bishop, Christopher M.},
title = {Pattern Recognition and Machine Learning (Information Science and Statistics)},
year = {2006},
isbn = {0387310738},
publisher = {Springer-Verlag New York, Inc.},
address = {Secaucus, NJ, USA},
}