Revue.bib

# SVM ------------------------------------------------------------------------------

@article{platt1998sequential,
  title={Sequential minimal optimization: A fast algorithm for training support vector machines},
  author={Platt, J.},
  year={1998}
}



@article{hofmann2006support,
  title={Support vector machines—Kernels and the kernel trick},
  author={Hofmann, M.},
  journal={Notes},
  volume={26},
  year={2006}
}

@article{cortes1995support,
  title={Support-vector networks},
  author={Cortes, C. and Vapnik, V.},
  journal={Machine learning},
  volume={20},
  number={3},
  pages={273--297},
  year={1995},
  publisher={Springer}
}

@inproceedings{boser1992training,
  title={A training algorithm for optimal margin classifiers},
  author={Boser, B. and Guyon, I. and Vapnik, V.},
  booktitle={Proceedings of the fifth annual workshop on Computational learning theory},
  pages={144--152},
  year={1992},
  organization={ACM}
}

@article{scholkopf2000new,
  title={New support vector algorithms},
  author={Sch{\"o}lkopf, B. and Smola, A. and Williamson, R. and Bartlett, P.},
  journal={Neural computation},
  volume={12},
  number={5},
  pages={1207--1245},
  year={2000},
  publisher={MIT Press}
}

@article{tipping2001sparse,
  title={Sparse Bayesian learning and the relevance vector machine},
  author={Tipping, M.},
  journal={Journal of machine learning research},
  volume={1},
  number={Jun},
  pages={211--244},
  year={2001}
}

@inproceedings{tong2000restricted,
  title={Restricted bayes optimal classifiers},
  author={Tong, S. and Koller, D.},
  booktitle={AAAI/IAAI},
  pages={658--664},
  year={2000}
}


@article{chang2001training,
  title={Training v-support vector classifiers: theory and algorithms},
  author={Chang, CC. and Lin, CJ.},
  journal={Neural computation},
  volume={13},
  number={9},
  pages={2119--2147},
  year={2001},
  publisher={MIT Press}
}

@article{rifkin2004defense,
  title={In defense of one-vs-all classification},
  author={Rifkin, R. and Klautau, A.},
  journal={Journal of machine learning research},
  volume={5},
  number={Jan},
  pages={101--141},
  year={2004}
}


@misc{Hsuan-tien,
  author={Hsuan-Tien, L.},
  title={Lecture 1: Linear Support Vector Machine},
  year={2018},
  publisher={National Taiwan University}
}

# RTF ------------------------------------------------------------------------------

@article{breiman2001random,
  title={Random forests},
  author={Breiman, L.},
  journal={Machine learning},
  volume={45},
  number={1},
  pages={5--32},
  year={2001},
  publisher={Springer}
}

@article{breiman1996bagging,
  title={Bagging predictors},
  author={Breiman, L.},
  journal={Machine learning},
  volume={24},
  number={2},
  pages={123--140},
  year={1996},
  publisher={Springer}
}

@misc{hastiefriedman,
  title={\& Friedman, J.(2008). The Elements of Statistical Learning; Data Mining, Inference and Prediction},
  author={Hastie, T. and Tibshirani, R. and Friedman, J.},
  publisher={Springer, New York}
}
@misc{breiman1996out,
  title={Out-of-bag estimation},
  author={Breiman, L.},
  year={1996},
  publisher={Citeseer}
}

# ANN ------------------------------------------------------------------------------

@book{ Bishop,
       author = {Bishop, C.},
       title = {Pattern recognition and machine learning},
       publisher ={Springer},
       year = {2006} }

@article{ruder2016overview,
  title={An overview of gradient descent optimization algorithms},
  author={Ruder, S.},
  journal={arXiv preprint arXiv:1609.04747},
  year={2016}
}

@article{stathakis2009many,
  title={How many hidden layers and nodes?},
  author={Stathakis, D.},
  journal={International Journal of Remote Sensing},
  volume={30},
  number={8},
  pages={2133--2147},
  year={2009},
  publisher={Taylor \& Francis}
}

@incollection{lecun2012efficient,
  title={Efficient backprop},
  author={LeCun, Y. and Bottou, L. and Orr, G. and M{\"u}ller, KR.},
  booktitle={Neural networks: Tricks of the trade},
  pages={9--48},
  year={2012},
  publisher={Springer}
}


@inproceedings{glorot2011deep,
  title={Deep sparse rectifier neural networks},
  author={Glorot, X. and Bordes, A. and Bengio, Y.},
  booktitle={Proceedings of the fourteenth international conference on artificial intelligence and statistics},
  pages={315--323},
  year={2011}
}

@article{srivastava2014dropout,
  title={Dropout: a simple way to prevent neural networks from overfitting},
  author={Srivastava, N. and Hinton, G. and Krizhevsky, A. and Sutskever, I. and Salakhutdinov, R.},
  journal={The Journal of Machine Learning Research},
  volume={15},
  number={1},
  pages={1929--1958},
  year={2014},
  publisher={JMLR. org}
}

@article{huang2003learning,
  title={Learning capability and storage capacity of two-hidden-layer feedforward networks},
  author={Huang, G.},
  journal={IEEE Transactions on Neural Networks},
  volume={14},
  number={2},
  pages={274--281},
  year={2003},
  publisher={IEEE}
}

# Previous work -----------------------------------------------------------------

@article{friedman1937use,
  title={The use of ranks to avoid the assumption of normality implicit in the analysis of variance},
  author={Friedman, M.},
  journal={Journal of the american statistical association},
  volume={32},
  number={200},
  pages={675--701},
  year={1937},
  publisher={Taylor \& Francis}
}

@article{lessmann2015benchmarking,
  title={Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research},
  author={Lessmann, S. and Baesens, B. and Seow, H. and Thomas, L.},
  journal={European Journal of Operational Research},
  volume={247},
  number={1},
  pages={124--136},
  year={2015},
  publisher={Elsevier}
}

@article{gondara2016classifier,
  title={Classifier comparison using precision},
  author={Gondara, L.},
  journal={arXiv preprint arXiv:1609.09471},
  year={2016}
}

@article{liu2003handwritten,
  title={Handwritten digit recognition: benchmarking of state-of-the-art techniques},
  author={Liu, C. and Nakashima, K. and Sako, H. and Fujisawa, H.},
  journal={Pattern recognition},
  volume={36},
  number={10},
  pages={2271--2285},
  year={2003},
  publisher={Elsevier}
}


@article{demvsar2006statistical,
  title={Statistical comparisons of classifiers over multiple data sets},
  author={Dem{\v{s}}ar, J.},
  journal={Journal of Machine learning research},
  volume={7},
  number={Jan},
  pages={1--30},
  year={2006}
}

@article{dietterich1998approximate,
  title={Approximate statistical tests for comparing supervised classification learning algorithms},
  author={Dietterich, T.},
  journal={Neural computation},
  volume={10},
  number={7},
  pages={1895--1923},
  year={1998},
  publisher={MIT Press}
}

@article{garcia2010advanced,
  title={Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power},
  author={Garc{\'\i}a, S. and Fern{\'a}ndez, A. and Luengo, J. and Herrera, F.},
  journal={Information Sciences},
  volume={180},
  number={10},
  pages={2044--2064},
  year={2010},
  publisher={Elsevier}
}

@incollection{wolpert2002supervised,
  title={The supervised learning no-free-lunch theorems},
  author={Wolpert, D.},
  booktitle={Soft computing and industry},
  pages={25--42},
  year={2002},
  publisher={Springer}
}

@article{masters2018revisiting,
  title={Revisiting Small Batch Training for Deep Neural Networks},
  author={Masters, D. and Luschi, C.},
  journal={arXiv preprint arXiv:1804.07612},
  year={2018}
}

@inproceedings{klambauer2017self,
  title={Self-normalizing neural networks},
  author={Klambauer, G. and Unterthiner, T. and Mayr, A. and Hochreiter, S.},
  booktitle={Advances in Neural Information Processing Systems},
  pages={971--980},
  year={2017}
}

@article{kingma2014adam,
  title={Adam: A method for stochastic optimization},
  author={Kingma, D. and Ba, J.},
  journal={arXiv preprint arXiv:1412.6980},
  year={2014}
}

# Others -----------------------------------------------------------------------

@article{cheng2018polynomial,
  title={Polynomial Regression As an Alternative to Neural Nets},
  author={Cheng, X. and Khomtchouk, B. and Matloff, N. and Mohanty, P.},
  journal={arXiv preprint arXiv:1806.06850},
  year={2018}
}


@unpublished{charpentier:hal-01568851,
  title = {{{\'E}conom{\'e}trie \& Machine Learning}},
  author = {Charpentier, A. and Flachaire, E. and Ly, A.},
  url = {https://hal.archives-ouvertes.fr/hal-01568851},
  note = {working paper or preprint},
  year = {2017},
  month = {Jul},
  HAL_ID = {hal-01568851},
  HAL_VERSION = {v1}
}


@misc{john2014big,
  title={Big data: A revolution that will transform how we live, work, and think},
  author={John Walker, S.},
  year={2014},
  publisher={Taylor \& Francis}
}

@book{silver2012signal,
  title={The signal and the noise: why so many predictions fail--but some don't},
  author={Silver, N.},
  year={2012},
  publisher={Penguin}
}

@book{kuhn2013applied,
  title={Applied predictive modeling},
  author={Kuhn, M. and Johnson, K.},
  volume={26},
  year={2013},
  publisher={Springer}
}


@misc{Dua:2017 ,
author = "Dheeru, D. and Karra Taniskidou, E.",
year = "2017",
title = "{UCI} Machine Learning Repository",
url = "http://archive.ics.uci.edu/ml",
institution = "University of California, Irvine, School of Information and Computer Sciences" } 

@article{powers2011evaluation,
  title={Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation},
  author={Powers, D.},
  year={2011},
  publisher={Bioinfo Publications}
}

@incollection{ling2011class,
  title={Class imbalance problem},
  author={Ling, C. and Sheng, V.},
  booktitle={Encyclopedia of machine learning},
  pages={171--171},
  year={2011},
  publisher={Springer}
}



@inproceedings{ozgur2005text,
  title={Text categorization with class-based and corpus-based keyword selection},
  author={{\"O}zg{\"u}r, A. and {\"O}zg{\"u}r, L. and G{\"u}ng{\"o}r, T.},
  booktitle={International Symposium on Computer and Information Sciences},
  pages={606--615},
  year={2005},
  organization={Springer}
}

@article{zhang2004optimality,
  title={The optimality of naive Bayes},
  author={Zhang, H.},
  journal={AA},
  volume={1},
  number={2},
  pages={3},
  year={2004}
}