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@inproceedings{ding2015yinyang,
Author = {Ding, Yufei and Zhao, Yue and Shen, Xipeng and Musuvathi, Madanlal and Mytkowicz, Todd},
Booktitle = {Proceedings of the 32nd International Conference on Machine Learning (ICML-15)},
Pages = {579--587},
Title = {Yinyang k-means: A drop-in replacement of the classic k-means with consistent speedup},
Year = {2015}}
@article{kanaris2007words,
Author = {Kanaris, Ioannis and Kanaris, Konstantinos and Houvardas, Ioannis and Stamatatos, Efstathios},
Journal = {International Journal on Artificial Intelligence Tools},
Number = {06},
Pages = {1047--1067},
Title = {Words versus character n-grams for anti-spam filtering},
Volume = {16},
Year = {2007}}
@inproceedings{louppe2013understanding,
Author = {Louppe, Gilles and Wehenkel, Louis and Sutera, Antonio and Geurts, Pierre},
Booktitle = {Advances in Neural Information Processing Systems},
Pages = {431--439},
Title = {Understanding variable importances in forests of randomized trees},
Year = {2013}}
@article{louppe2014understanding,
Author = {Louppe, Gilles},
Journal = {arXiv preprint arXiv:1407.7502},
Title = {Understanding Random Forests: From Theory to Practice},
Year = {2014}}
@article{unterthiner2015toxicity,
Author = {Unterthiner, Thomas and Mayr, Andreas and Klambauer, G{\"u}nter and Hochreiter, Sepp},
Journal = {arXiv preprint arXiv:1503.01445},
Title = {Toxicity Prediction using Deep Learning},
Year = {2015}}
@inproceedings{bergstra2010theano,
Author = {Bergstra, James and Breuleux, Olivier and Bastien, Fr{\'e}d{\'e}ric and Lamblin, Pascal and Pascanu, Razvan and Desjardins, Guillaume and Turian, Joseph and Warde-Farley, David and Bengio, Yoshua},
Booktitle = {Proc. 9th Python in Science Conf},
Pages = {1--7},
Title = {Theano: A CPU and GPU math compiler in Python},
Year = {2010}}
@article{rao1948utilization,
Author = {Rao, C Radhakrishna},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Number = {2},
Pages = {159--203},
Title = {The utilization of multiple measurements in problems of biological classification},
Volume = {10},
Year = {1948}}
@article{fisher1936use,
Author = {Fisher, Ronald A},
Journal = {Annals of eugenics},
Number = {2},
Pages = {179--188},
Title = {The use of multiple measurements in taxonomic problems},
Volume = {7},
Year = {1936}}
@incollection{wolpert2002supervised,
Author = {Wolpert, David H},
Booktitle = {Soft Computing and Industry},
Pages = {25--42},
Publisher = {Springer},
Title = {The supervised learning no-free-lunch theorems},
Year = {2002}}
@article{schapire1990strength,
Author = {Schapire, Robert E},
Journal = {Machine learning},
Number = {2},
Pages = {197--227},
Title = {The strength of weak learnability},
Volume = {5},
Year = {1990}}
@inproceedings{davis2006relationship,
Author = {Davis, Jesse and Goadrich, Mark},
Booktitle = {Proceedings of the 23rd international conference on Machine learning},
Organization = {ACM},
Pages = {233--240},
Title = {The relationship between Precision-Recall and ROC curves},
Year = {2006}}
@book{rosenblatt1957perceptron,
Author = {Rosenblatt, Frank},
Publisher = {Cornell Aeronautical Laboratory},
Title = {The perceptron, a perceiving and recognizing automaton Project Para},
Year = {1957}}
@book{vapnik2013nature,
Author = {Vapnik, Vladimir},
Publisher = {Springer Science \& Business Media},
Title = {The nature of statistical learning theory},
Year = {2013}}
@article{hanley1982meaning,
Author = {Hanley, James A and McNeil, Barbara J},
Journal = {Radiology},
Number = {1},
Pages = {29--36},
Title = {The meaning and use of the area under a receiver operating characteristic (ROC) curve.},
Volume = {143},
Year = {1982}}
@incollection{rasson1994gap,
Author = {Rasson, Jean-Paul and Kubushishi, Tite},
Booktitle = {New approaches in classification and data analysis},
Pages = {186--193},
Publisher = {Springer},
Title = {The gap test: an optimal method for determining the number of natural classes in cluster analysis},
Year = {1994}}
@book{hastie2009elements,
Author = {Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome and Hastie, T and Friedman, J and Tibshirani, R},
Number = {1},
Publisher = {Springer},
Title = {The Elements of Statistical Learning},
Volume = {2},
Year = {2009}}
@article{toscher2009bigchaos,
Author = {T{\"o}scher, Andreas and Jahrer, Michael and Bell, Robert M},
Journal = {Netflix prize documentation},
Title = {The bigchaos solution to the netflix grand prize},
Year = {2009}}
@article{gunn1998support,
Author = {Gunn, Steve R and others},
Journal = {ISIS technical report},
Title = {Support vector machines for classification and regression},
Volume = {14},
Year = {1998}}
@article{friedman2002stochastic,
Author = {Friedman, Jerome H},
Journal = {Computational Statistics \& Data Analysis},
Number = {4},
Pages = {367--378},
Title = {Stochastic gradient boosting},
Volume = {38},
Year = {2002}}
@article{wolpert1992stacked,
Author = {Wolpert, David H},
Journal = {Neural networks},
Number = {2},
Pages = {241--259},
Title = {Stacked generalization},
Volume = {5},
Year = {1992}}
@misc{porter2001snowball,
Author = {Porter, Martin F},
Title = {Snowball: A language for stemming algorithms},
Year = {2001}}
@article{rousseeuw1987silhouettes,
Author = {Rousseeuw, Peter J},
Journal = {Journal of computational and applied mathematics},
Pages = {53--65},
Title = {Silhouettes: a graphical aid to the interpretation and validation of cluster analysis},
Volume = {20},
Year = {1987}}
@article{meer1991robust,
Author = {Meer, Peter and Mintz, Doron and Rosenfeld, Azriel and Kim, Dong Yoon},
Journal = {International journal of computer vision},
Number = {1},
Pages = {59--70},
Title = {Robust regression methods for computer vision: A review},
Volume = {6},
Year = {1991}}
@article{hoerl1970ridge,
Author = {Hoerl, Arthur E and Kennard, Robert W},
Journal = {Technometrics},
Number = {1},
Pages = {55--67},
Title = {Ridge regression: Biased estimation for nonorthogonal problems},
Volume = {12},
Year = {1970}}
@article{galton1886regression,
Author = {Galton, Francis},
Journal = {Journal of the Anthropological Institute of Great Britain and Ireland},
Pages = {246--263},
Title = {Regression towards mediocrity in hereditary stature.},
Year = {1886}}
@article{tibshirani1996regression,
Author = {Tibshirani, Robert},
Journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
Pages = {267--288},
Title = {Regression shrinkage and selection via the lasso},
Year = {1996}}
@article{bergstra2012random,
Author = {Bergstra, James and Bengio, Yoshua},
Journal = {The Journal of Machine Learning Research},
Number = {1},
Pages = {281--305},
Title = {Random search for hyper-parameter optimization},
Volume = {13},
Year = {2012}}
@article{breiman2001random,
Author = {Breiman, Leo},
Journal = {Machine learning},
Number = {1},
Pages = {5--32},
Title = {Random forests},
Volume = {45},
Year = {2001}}
@book{jolliffe2002principal,
Author = {Jolliffe, Ian},
Publisher = {Wiley Online Library},
Title = {Principal component analysis},
Year = {2002}}
@book{bezdek2013pattern,
Author = {Bezdek, James C},
Publisher = {Springer Science \& Business Media},
Title = {Pattern recognition with fuzzy objective function algorithms},
Year = {2013}}
@article{duda2001pattern,
Author = {Duda, Richard O and Hart, Peter E and Stork, David G},
Journal = {Edition. New York},
Title = {Pattern classification. 2nd},
Year = {2001}}
@article{bengio2004no,
Author = {Bengio, Yoshua and Grandvalet, Yves},
Journal = {The Journal of Machine Learning Research},
Pages = {1089--1105},
Title = {No unbiased estimator of the variance of k-fold cross-validation},
Volume = {5},
Year = {2004}}
@article{wolpert1997no,
Author = {Wolpert, David H and Macready, William G},
Journal = {Evolutionary Computation, IEEE Transactions on},
Number = {1},
Pages = {67--82},
Title = {No free lunch theorems for optimization},
Volume = {1},
Year = {1997}}
@book{bishop1995neural,
Author = {Bishop, Christopher M},
Publisher = {Oxford university press},
Title = {Neural networks for pattern recognition},
Year = {1995}}
@book{bird2009natural,
Author = {Bird, Steven and Klein, Ewan and Loper, Edward},
Publisher = {" O'Reilly Media, Inc."},
Title = {Natural language processing with Python},
Year = {2009}}
@article{DBLP:journals/corr/Raschka14,
Author = {Sebastian Raschka},
Journal = {Computing Research Repository (CoRR)},
Title = {Naive Bayes and Text Classification {I} - Introduction and Theory},
Volume = {abs/1410.5329},
Year = {2014}}
@misc{appleby2011murmurhash3,
Author = {Appleby, Austin},
Title = {murmurhash3},
Year = {2011}}
@article{paice1996method,
Author = {Paice, Chris D},
Journal = {Journal of the American Society for Information Science},
Number = {8},
Pages = {632--649},
Title = {Method for evaluation of stemming algorithms based on error counting},
Volume = {47},
Year = {1996}}
@article{hochreiter1997long,
Author = {Hochreiter, Sepp and Schmidhuber, J{\"u}rgen},
Journal = {Neural computation},
Number = {8},
Pages = {1735--1780},
Title = {Long short-term memory},
Volume = {9},
Year = {1997}}
@book{menard2009logistic,
Author = {Menard, Scott},
Publisher = {Sage Publications},
Title = {Logistic regression: From introductory to advanced concepts and applications},
Year = {2009}}
@booklet{kolter2008linear,
Author = {Kolter, Zico},
Title = {Linear Algebra Review and Reference},
Year = {2008}}
@inproceedings{maas-EtAl:2011:ACL-HLT2011,
Address = {Portland, Oregon, USA},
Author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher},
Booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
Month = {June},
Pages = {142--150},
Publisher = {Association for Computational Linguistics},
Title = {Learning Word Vectors for Sentiment Analysis},
Year = {2011}}
@article{williams1986learning,
Author = {Williams, DE Rumelhart GE Hinton RJ and Hinton, GE},
Journal = {Nature},
Pages = {323--533},
Title = {Learning representations by back-propagating errors},
Year = {1986}}
@article{bengio2009learning,
Author = {Bengio, Yoshua},
Journal = {Foundations and trends{\textregistered} in Machine Learning},
Number = {1},
Pages = {1--127},
Title = {Learning deep architectures for AI},
Volume = {2},
Year = {2009}}
@article{park2007l1,
Author = {Park, Mee Young and Hastie, Trevor},
Journal = {Journal of the Royal Statistical Society: Series B (Statistical Methodology)},
Number = {4},
Pages = {659--677},
Title = {L1-regularization path algorithm for generalized linear models},
Volume = {69},
Year = {2007}}
@article{cunningham2007k,
Author = {Cunningham, Padraig and Delany, Sarah Jane},
Journal = {Multiple Classifier Systems},
Pages = {1--17},
Title = {k-Nearest neighbour classifiers},
Year = {2007}}
@inproceedings{arthur2007k,
Author = {Arthur, David and Vassilvitskii, Sergei},
Booktitle = {Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms},
Organization = {Society for Industrial and Applied Mathematics},
Pages = {1027--1035},
Title = {k-means++: The advantages of careful seeding},
Year = {2007}}
@inproceedings{ding2004k,
Author = {Ding, Chris and He, Xiaofeng},
Booktitle = {Proceedings of the twenty-first international conference on Machine learning},
Organization = {ACM},
Pages = {29},
Title = {K-means clustering via principal component analysis},
Year = {2004}}
@article{scholkopf1997kernel,
Author = {Sch{\"o}lkopf, Bernhard and Smola, Alexander and M{\"u}ller, Klaus-Robert},
Pages = {583--588},
Title = {Kernel principal component analysis},
Year = {1997}}
@book{shawe2004kernel,
Author = {Shawe-Taylor, John and Cristianini, Nello},
Publisher = {Cambridge university press},
Title = {Kernel methods for pattern analysis},
Year = {2004}}
@article{ting1999issues,
Author = {Ting, Kai Ming and Witten, Ian H},
Journal = {J. Artif. Intell. Res.(JAIR)},
Pages = {271--289},
Title = {Issues in stacked generalization},
Volume = {10},
Year = {1999}}
@article{khuri2013introduction,
Author = {Khuri, Andr{\'e} I},
Journal = {International Statistical Review},
Number = {2},
Pages = {318--319},
Title = {Introduction to Linear Regression Analysis, by Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining},
Volume = {81},
Year = {2013}}
@article{toman2006influence,
Author = {Toman, Michal and Tesar, Roman and Jezek, Karel},
Journal = {Proceedings of InSciT},
Pages = {354--358},
Title = {Influence of word normalization on text classification},
Year = {2006}}
@article{efron1997improvements,
Author = {Efron, Bradley and Tibshirani, Robert},
Journal = {Journal of the American Statistical Association},
Number = {438},
Pages = {548--560},
Title = {Improvements on cross-validation: the 632+ bootstrap method},
Volume = {92},
Year = {1997}}
@article{johnson1967hierarchical,
Author = {Johnson, Stephen C},
Journal = {Psychometrika},
Number = {3},
Pages = {241--254},
Title = {Hierarchical clustering schemes},
Volume = {32},
Year = {1967}}
@article{lecun1998gradient,
Author = {LeCun, Yann and Bottou, L{\'e}on and Bengio, Yoshua and Haffner, Patrick},
Journal = {Proceedings of the IEEE},
Number = {11},
Pages = {2278--2324},
Title = {Gradient-based learning applied to document recognition},
Volume = {86},
Year = {1998}}
@inproceedings{ng2004feature,
Author = {Ng, Andrew Y},
Booktitle = {Proceedings of the twenty-first international conference on Machine learning},
Organization = {ACM},
Pages = {78},
Title = {Feature selection, L 1 vs. L 2 regularization, and rotational invariance},
Year = {2004}}
@article{huang1998extensions,
Author = {Huang, Zhexue},
Journal = {Data mining and knowledge discovery},
Number = {3},
Pages = {283--304},
Title = {Extensions to the k-means algorithm for clustering large data sets with categorical values},
Volume = {2},
Year = {1998}}
@article{tukey1977exploratory,
Author = {Tukey, John W},
Title = {Exploratory data analysis},
Year = {1977}}
@inproceedings{freund1996experiments,
Author = {Freund, Yoav and Schapire, Robert E and others},
Booktitle = {ICML},
Pages = {148--156},
Title = {Experiments with a new boosting algorithm},
Volume = {96},
Year = {1996}}
@article{mikolov2013efficient,
Author = {Mikolov, Tomas and Chen, Kai and Corrado, Greg and Dean, Jeffrey},
Journal = {arXiv preprint arXiv:1301.3781},
Title = {Efficient estimation of word representations in vector space},
Year = {2013}}
@article{hannun2014deepspeech,
Author = {Hannun, Awni and Case, Carl and Casper, Jared and Catanzaro, Bryan and Diamos, Greg and Elsen, Erich and Prenger, Ryan and Satheesh, Sanjeev and Sengupta, Shubho and Coates, Adam and others},
Journal = {arXiv preprint arXiv:1412.5567},
Title = {DeepSpeech: Scaling up end-to-end speech recognition},
Year = {2014}}
@inproceedings{taigman2014deepface,
Author = {Taigman, Yaniv and Yang, Ming and Ranzato, Marc'Aurelio and Wolf, Lars},
Booktitle = {Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on},
Organization = {IEEE},
Pages = {1701--1708},
Title = {Deepface: Closing the gap to human-level performance in face verification},
Year = {2014}}
@article{ferri1994comparative,
Author = {Ferri, F and Pudil, P and Hatef, M and Kittler, J},
Journal = {Pattern Recognition in Practice IV},
Pages = {403--413},
Title = {Comparative study of techniques for large-scale feature selection},
Year = {1994}}
@article{ghosh2013comparative,
Author = {Ghosh, Soumi and Dubey, Sanjay Kumar},
Journal = {IJACSA},
Pages = {35--38},
Title = {Comparative analysis of k-means and fuzzy c-means algorithms},
Volume = {4},
Year = {2013}}
@article{breiman1984classification,
Author = {Breiman, Leo and Friedman, Jerome H and Olshen, Richard A and Stone, Charles J},
Journal = {Belmont, CA},
Title = {Classification and regression trees. Wadsworth},
Year = {1984}}
@article{liaw2002classification,
Author = {Liaw, Andy and Wiener, Matthew},
Journal = {R news},
Number = {3},
Pages = {18--22},
Title = {Classification and regression by randomForest},
Volume = {2},
Year = {2002}}
@article{breiman1996bias,
Author = {Breiman, Leo},
Title = {Bias, variance, and arcing classifiers},
Year = {1996}}
@article{strobl2007bias,
Author = {Strobl, Carolin and Boulesteix, Anne-Laure and Zeileis, Achim and Hothorn, Torsten},
Journal = {BMC bioinformatics},
Number = {1},
Pages = {25},
Title = {Bias in random forest variable importance measures: Illustrations, sources and a solution},
Volume = {8},
Year = {2007}}
@article{varma2006bias,
Author = {Varma, Sudhir and Simon, Richard},
Journal = {BMC bioinformatics},
Number = {1},
Pages = {91},
Title = {Bias in error estimation when using cross-validation for model selection},
Volume = {7},
Year = {2006}}
@inproceedings{simard2003best,
Author = {Simard, Patrice Y and Steinkraus, Dave and Platt, John C},
Booktitle = {null},
Organization = {IEEE},
Pages = {958},
Title = {Best practices for convolutional neural networks applied to visual document analysis},
Year = {2003}}
@article{breiman1996bagging,
Author = {Breiman, Leo},
Journal = {Machine learning},
Number = {2},
Pages = {123--140},
Title = {Bagging predictors},
Volume = {24},
Year = {1996}}
@incollection{toldo2009automatic,
Author = {Toldo, Roberto and Fusiello, Andrea},
Booktitle = {Image Analysis and Processing--ICIAP 2009},
Pages = {123--131},
Publisher = {Springer},
Title = {Automatic estimation of the inlier threshold in robust multiple structures fitting},
Year = {2009}}
@article{baydin2014automatic,
Author = {Baydin, Atilim Gunes and Pearlmutter, Barak A},
Journal = {arXiv preprint arXiv:1404.7456},
Title = {Automatic Differentiation of Algorithms for Machine Learning},
Year = {2014}}
@article{markatou2005analysis,
Author = {Markatou, Marianthi and Tian, Hong and Biswas, Shameek and Hripcsak, George M},
Journal = {Journal of Machine Learning Research},
Pages = {1127--1168},
Title = {Analysis of variance of cross-validation estimators of the generalization error},
Volume = {6},
Year = {2005}}
@article{DBLP:journals/corr/Raschka14a,
Author = {Sebastian Raschka},
Journal = {Computing Research Repository (CoRR)},
Title = {An Overview of General Performance Metrics of Binary Classifier Systems},
Volume = {abs/1410.5330},
Year = {2014}}
@article{aizawa2003information,
Author = {Aizawa, Akiko},
Journal = {Information Processing \& Management},
Number = {1},
Pages = {45--65},
Title = {An information-theoretic perspective of tf--idf measures},
Volume = {39},
Year = {2003}}
@inproceedings{ratsch1998improvement,
Author = {R{\"a}tsch, Gunnar and Onoda, Takashi and M{\"u}ller, Klaus Robert},
Booktitle = {Proc. of the Int. Conf. on Neural Information Processing},
Organization = {Citeseer},
Title = {An improvement of adaboost to avoid overfitting},
Year = {1998}}
@article{porter1980algorithm,
Author = {Porter, Martin F},
Journal = {Program: electronic library and information systems},
Number = {3},
Pages = {130--137},
Title = {An algorithm for suffix stripping},
Volume = {14},
Year = {1980}}
@article{friedman1977algorithm,
Author = {Friedman, Jerome H and Bentley, Jon Louis and Finkel, Raphael Ari},
Journal = {ACM Transactions on Mathematical Software (TOMS)},
Number = {3},
Pages = {209--226},
Title = {An algorithm for finding best matches in logarithmic expected time},
Volume = {3},
Year = {1977}}
@book{stanford1960adaptive,
Address = {Stanford, CA},
Author = {Widrow, B.},
Month = {October},
Number = {Technical Report 1553-2},
Publisher = {Stanford Electron. Labs.},
Title = {Adaptive "Adaline" neuron using chemical "memistors"},
Year = {1960}}
@article{burges1998tutorial,
Author = {Burges, Christopher JC},
Journal = {Data mining and knowledge discovery},
Number = {2},
Pages = {121--167},
Title = {A tutorial on support vector machines for pattern recognition},
Volume = {2},
Year = {1998}}
@inproceedings{kohavi1995study,
Author = {Kohavi, Ron and others},
Booktitle = {Ijcai},
Number = {2},
Pages = {1137--1145},
Title = {A study of cross-validation and bootstrap for accuracy estimation and model selection},
Volume = {14},
Year = {1995}}
@article{nagelkerke1991note,
Author = {Nagelkerke, Nico JD},
Journal = {Biometrika},
Number = {3},
Pages = {691--692},
Title = {A note on a general definition of the coefficient of determination},
Volume = {78},
Year = {1991}}
@article{mcculloch1943logical,
Author = {McCulloch, Warren S and Pitts, Walter},
Journal = {The bulletin of mathematical biophysics},
Number = {4},
Pages = {115--133},
Title = {A logical calculus of the ideas immanent in nervous activity},
Volume = {5},
Year = {1943}}
@article{dunn1973fuzzy,
Author = {Dunn, Joseph C},
Title = {A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters},
Year = {1973}}
@inproceedings{ester1996density,
Author = {Ester, Martin and Kriegel, Hans-Peter and Sander, J{\"o}rg and Xu, Xiaowei},
Booktitle = {Kdd},
Number = {34},
Pages = {226--231},
Title = {A density-based algorithm for discovering clusters in large spatial databases with noise.},
Volume = {96},
Year = {1996}}
@article{lawrence1989concordance,
Author = {Lawrence, I and Lin, Kuei},
Journal = {Biometrics},
Pages = {255--268},
Title = {A concordance correlation coefficient to evaluate reproducibility},
Year = {1989}}
@incollection{aha1996comparative,
Author = {Aha, David W and Bankert, Richard L},
Booktitle = {Learning from Data},
Pages = {199--206},
Publisher = {Springer},
Title = {A comparative evaluation of sequential feature selection algorithms},
Year = {1996}}