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references.bib
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references.bib
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@techreport{classification,
author = " Guestrin, Carlos and Fox, Emily",
title = "Machine Learning: Classification",
institution = "University of Washington"
%howpublished = "",
year = "2016",
%month = "",
%note = "",
}
@misc{matlab_naiveBayes,
author = "The MathWorks Inc.",
title = "Naive Bayes Classification",
month = "October",
year = "2017",
url = "https://fr.mathworks.com/help/stats/naive-bayes-classification.html"
}
@misc{wolfram_BayesTheorem,
author = "Weisstein, Eric W.",
title = "Bayes' Theorem.",
month = "October",
year = "2017",
url = "http://mathworld.wolfram.com/BayesTheorem.html "
}
@article{scikit-learn,
title = {Scikit-learn: Machine Learning in {P}ython},
author = {Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
journal = {Journal of Machine Learning Research},
volume = {12},
pages = {2825--2830},
year = {2011}
}
@book{intro-2-ml-Alpaydm,
author = {Ethem Alpaydm},
title = {Introduction to Machine Learning},
publisher = {The MIT Press},
year = 2010,
%volume = 4,
%series = 10,
address = {Cambridge, Massachusetts; London, England},
edition = 2,
%month = 7,
%note = {An optional note},
isbn = {978-0-262-01243-0}
}
@misc{coursera-ML,
author = {Andrew Ng},
title = {Machine Learning},
howpublished = "\url{https://www.coursera.org/learn/machine-learning}",
year = 2012,
note = {Accessed 10/11/17}
}
@article{hyperparameter-search,
author = {Marc Claesen and
Bart De Moor},
title = {Hyperparameter Search in Machine Learning},
journal = {CoRR},
volume = {abs/1502.02127},
year = {2015},
url = {http://arxiv.org/abs/1502.02127},
archivePrefix = {arXiv},
eprint = {1502.02127},
timestamp = {Wed, 07 Jun 2017 14:40:56 +0200},
biburl = {http://dblp.org/rec/bib/journals/corr/ClaesenM15},
bibsource = {dblp computer science bibliography, http://dblp.org}
}
@misc{confmat-terminology,
author = {Kevin Markham},
title = {Simple guide to confusion matrix terminology},
howpublished = "\url{http://www.dataschool.io/simple-guide-to-confusion-matrix-terminology/}",
year = 2014,
note = {Accessed 01/11/17}
}