Machine Learning Short Title: Mach. Learn. Publisher: Springer US, New York, NY ISSN: 0885-6125; 1573-0565/e Online: http://link.springer.com/journal/volumesAndIssues/10994 Comments: Indexed cover-to-cover Documents Indexed: 1,119 Publications (since 1991) References Indexed: 678 Publications with 28,886 References. all top 5 Latest Issues 109, No. 12 (2020) 109, No. 11 (2020) 109, No. 9-10 (2020) 109, No. 8 (2020) 109, No. 7 (2020) 109, No. 6 (2020) 109, No. 5 (2020) 109, No. 4 (2020) 109, No. 3 (2020) 109, No. 2 (2020) 109, No. 1 (2020) 108, No. 12 (2019) 108, No. 11 (2019) 108, No. 10 (2019) 108, No. 8-9 (2019) 108, No. 7 (2019) 108, No. 6 (2019) 108, No. 5 (2019) 108, No. 4 (2019) 108, No. 3 (2019) 108, No. 2 (2019) 108, No. 1 (2019) 107, No. 12 (2018) 107, No. 11 (2018) 107, No. 8-10 (2018) 107, No. 7 (2018) 107, No. 6 (2018) 107, No. 5 (2018) 107, No. 4 (2018) 107, No. 3 (2018) 107, No. 2 (2018) 107, No. 1 (2018) 106, No. 12 (2017) 106, No. 11 (2017) 106, No. 9-10 (2017) 106, No. 8 (2017) 106, No. 7 (2017) 106, No. 6 (2017) 106, No. 5 (2017) 106, No. 4 (2017) 106, No. 3 (2017) 106, No. 2 (2017) 106, No. 1 (2017) 105, No. 3 (2016) 105, No. 2 (2016) 105, No. 1 (2016) 104, No. 2-3 (2016) 104, No. 1 (2016) 103, No. 3 (2016) 103, No. 2 (2016) 103, No. 1 (2016) 102, No. 3 (2016) 102, No. 2 (2016) 102, No. 1 (2016) 101, No. 1-3 (2015) 100, No. 2-3 (2015) 100, No. 1 (2015) 99, No. 3 (2015) 99, No. 2 (2015) 99, No. 1 (2015) 98, No. 3 (2015) 98, No. 1-2 (2015) 97, No. 3 (2014) 97, No. 1-2 (2014) 96, No. 3 (2014) 96, No. 1-2 (2014) 95, No. 3 (2014) 95, No. 2 (2014) 94, No. 3 (2014) 94, No. 2 (2014) 94, No. 1 (2014) 93, No. 2-3 (2013) 93, No. 1 (2013) 92, No. 2-3 (2013) 92, No. 1 (2013) 91, No. 3 (2013) 91, No. 2 (2013) 91, No. 1 (2013) 90, No. 3 (2013) 90, No. 2 (2013) 90, No. 1 (2013) 89, No. 3 (2012) 89, No. 1-2 (2012) 88, No. 3 (2012) 88, No. 1-2 (2012) 87, No. 3 (2012) 87, No. 2 (2012) 87, No. 1 (2012) 86, No. 3 (2012) 86, No. 2 (2012) 86, No. 1 (2012) 85, No. 3 (2011) 85, No. 1-2 (2011) 84, No. 3 (2011) 84, No. 1-2 (2011) 83, No. 3 (2011) 83, No. 2 (2011) 83, No. 1 (2011) 82, No. 3 (2011) 82, No. 2 (2011) ...and 105 more Volumes all top 5 Authors 21 Sugiyama, Masashi 13 De Raedt, Luc 12 Džeroski, Sašo 12 Muggleton, Stephen H. 11 Flach, Peter A. 11 Hullermeier, Eyke 10 Warmuth, Manfred K. 10 Zhou, Zhihua 9 Gama, João 9 Long, Philip M. 9 Schapire, Robert E. 9 Srinivasan, Ashwin 9 Webb, Geoffrey I. 8 Inoue, Katsumi 8 Jin, Rong 8 Singer, Yoram 8 Ting, Kai Ming 7 Cesa-Bianchi, Nicolò 7 Davis, Jesse 7 Holmes, Geoffrey 7 Kaski, Samuel 7 Roth, Dan 7 Singh, Satinder Pal 7 Yang, Tianbao 7 Zhu, Shenghuo 6 Bengio, Yoshua 6 Blum, Avrim L. 6 Breiman, Leo 6 Kearns, Michael Justin 6 Kocev, Dragi 6 Lugosi, Gábor 6 Morik, Katharina 6 Pfahringer, Bernhard 6 Riguzzi, Fabrizio 6 Shawe-Taylor, John 6 Vapnik, Vladimir Naumovich 6 Wrobel, Stefan 5 Brazdil, Pavel B. 5 Cohen, William W. 5 Corani, Giorgio 5 Fürnkranz, Johannes 5 Hoi, Steven C. H. 5 Horváth, Tamás L. 5 Kersting, Kristian 5 Landwehr, Niels 5 Lavrač, Nada 5 Lin, Hsuan-Tien 5 Malerba, Donato 5 Mansour, Yishay 5 Provost, Foster 5 Ramon, Jan 5 Scheffer, Tobias 5 Sebag, Michèle 5 Tamaddoni-Nezhad, Alireza 5 Thrun, Sebastian 5 Tishby, Naftali 5 Tsang, Ivor Wai-Hung 5 Tsitsiklis, John N. 5 Washio, Takashi 5 Železný, Filip 5 Zhao, Peilin 4 Angluin, Dana 4 Auer, Peter 4 Baxter, Jonathan 4 Ben-David, Shai 4 Bennett, Kristin P. 4 Blockeel, Hendrik 4 Bratko, Ivan 4 Brown, Gavin 4 Bshouty, Nader H. 4 Buntine, Wray L. 4 Cheng, Weiwei 4 Crammer, Koby 4 Cropper, Andrew 4 Dayan, Peter 4 de la Higuera, Colin 4 Domingos, Pedro 4 Driessens, Kurt 4 Esposito, Floriana 4 Frasconi, Paolo 4 Heckerman, David E. 4 Ishii, Shin 4 Jiang, Yuan 4 Kanamori, Takafumi 4 Khardon, Roni 4 Kim, Kee-Eung 4 Lachiche, Nicolas 4 Maass, Wolfgang 4 Michalski, Ryszard S. 4 Natarajan, Sriraam 4 Peters, Jan 4 Pitt, Leonard 4 Ron, Dana 4 Rouveirol, Céline 4 Rudin, Cynthia 4 Sammut, Claude 4 Schuurmans, Dale 4 Smyth, Padhraic 4 Suykens, Johan A. K. 4 Szepesvári, Csaba ...and 2,001 more Authors all top 5 Fields 1,037 Computer science (68-XX) 268 Statistics (62-XX) 72 General and overarching topics; collections (00-XX) 44 Operations research, mathematical programming (90-XX) 33 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 18 Numerical analysis (65-XX) 15 Probability theory and stochastic processes (60-XX) 15 Biology and other natural sciences (92-XX) 12 Information and communication theory, circuits (94-XX) 10 Systems theory; control (93-XX) 7 Combinatorics (05-XX) 6 Linear and multilinear algebra; matrix theory (15-XX) 3 History and biography (01-XX) 2 Mathematical logic and foundations (03-XX) 2 Calculus of variations and optimal control; optimization (49-XX) 1 Measure and integration (28-XX) 1 Dynamical systems and ergodic theory (37-XX) 1 Quantum theory (81-XX) 1 Geophysics (86-XX) Publications by Year all cited Publications top 5 cited Publications Citations contained in zbMATH Open 687 Publications have been cited 8,986 times in 6,470 Documents Cited by ▼ Year ▼ Random forests. Zbl 1007.68152Breiman, Leo 773 2001 Support-vector networks. Zbl 0831.68098Cortes, Corinna; Vapnik, Vladimir 679 1995 Bagging predictors. Zbl 0858.68080Breiman, Leo 521 1996 Gene selection for cancer classification using support vector machines. Zbl 0998.68111Guyon, Isabelle; Weston, Jason; Barnhill, Stephen; Vapnik, Vladimir 192 2002 Learning Bayesian networks: The combination of knowledge and statistical data. Zbl 0831.68096Heckerman, David; Geiger, Dan; Chickering, David M. 181 1995 \({\mathcal Q}\)-learning. Zbl 0773.68062Watkins, Christopher J. C. H.; Dayan, Peter 178 1992 Finite-time analysis of the multiarmed bandit problem. Zbl 1012.68093Auer, Peter; Cesa-Bianchi, Nicolò; Fischer, Paul 161 2002 A Bayesian method for the induction of probabilistic networks from data. Zbl 0766.68109Cooper, Gregory F.; Herskovits, Edward 157 1992 An introduction to variational methods for graphical models. Zbl 0945.68164Jordan, I. Michael; Ghahramani, Zoubin; Jaakkola, Tommi S.; Saul, Lawrence K. 146 1999 Bayesian network classifiers. Zbl 0892.68077Friedman, Nir; Geiger, Dan; Goldszmidt, Moises 142 1997 Choosing multiple parameters for support vector machines. Zbl 0998.68101Chapelle, Olivier; Vapnik, Vladimir; Bousquet, Olivier; Mukherjee, Sayan 114 2002 Correlation clustering. Zbl 1089.68085Bansal, Nikhil; Blum, Avrim; Chawla, Shuchi 109 2004 Improved boosting algorithms using confidence-rated predictions. Zbl 0945.68194Schapire, Robert E.; Singer, Yoram 99 1999 On the optimality of the simple Bayesian classifier under zero-one loss. Zbl 0892.68076Domingos, Pedro; Pazzani, Michael 96 1997 NP-hardness of Euclidean sum-of-squares clustering. Zbl 1378.68047Aloise, Daniel; Deshpande, Amit; Hansen, Pierre; Popat, Preyas 95 2009 An introduction to MCMC for machine learning. Zbl 1033.68081Andrieu, Christophe; de Freitas, Nando; Doucet, Arnaud; Jordan, Michael I. 83 2003 Soft margins for AdaBoost. Zbl 0969.68128Rätsch, G.; Onoda, T.; Müller, K.-R. 79 2001 Semi-supervised learning on Riemannian manifolds. Zbl 1089.68086Belkin, Mikhail; Niyogi, Partha 68 2004 Text classification from labeled and unlabeled documents using EM. Zbl 0949.68162Nigam, Kamal; McCallum, Andrew Kachites; Thrun, Sebastian; Mitchell, Tom 67 2000 Simple statistical gradient-following algorithms for connectionist reinforcement learning. Zbl 0772.68076Williams, Ronald J. 62 1992 BoosTexter: A boosting-based system for text categorization. Zbl 0951.68561Schapire, Robert E.; Singer, Yoram 61 2000 A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Zbl 0969.68669Lim, Tjen-Sien; Loh, Wei-Yin; Shih, Yu-Shan 59 2000 Very simple classification rules perform well on most commonly used datasets. Zbl 0850.68278Holte, Robert C. 58 1993 Support vector data description. Zbl 1078.68728Tax, David M. J.; Duin, Robert P. W. 55 2004 Multicategory proximal support vector machine classifiers. Zbl 1101.68758Fung, Glenn M.; Mangasarian, O. L. 55 2005 Toward efficient agnostic learning. Zbl 0938.68797Kearns, Michael J.; Schapire, Robert E.; Sellie, Linda M. 54 1994 A simple generalisation of the area under the ROC curve for multiple class classification problems. Zbl 1007.68180Hand, David J.; Till, Robert J. 54 2001 Stacked regressions. Zbl 0849.68104Breiman, Leo 52 1996 Learning from different teachers. Zbl 1027.68106Angluin, Dana; Kriķis, Mārtiņš 51 2003 Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Zbl 1027.68113Kuncheva, Ludmila I.; Whitaker, Christopher J. 50 2003 Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data. Zbl 1039.68103Monti, Stefano; Tamayo, Pablo; Mesirov, Jill; Golub, Todd 48 2003 Asynchronous stochastic approximation and Q-learning. Zbl 0820.68105Tsitsiklis, John N. 47 1994 Theoretical and empirical analysis of ReliefF and RReliefF. Zbl 1076.68065Robnik-Šikonja, Marko; Kononenko, Igor 46 2003 Model selection and error estimation. Zbl 0998.68117Bartlett, Peter L.; Boucheron, Stéphane; Lugosi, Gábor 46 2002 Clustering large graphs via the singular value decomposition. Zbl 1089.68090Drineas, P.; Frieze, A.; Kannan, R.; Vempala, S.; Vinay, V. 45 2004 Benchmarking least squares support vector machine classifiers. Zbl 1078.68737van Gestel, Tony; Suykens, Johan A. K.; Baesens, Bart; Viaene, Stijn; Vanthienen, Jan; Dedene, Guido; de Moor, Bart; Vandewalle, Joos 45 2004 Extremely randomized trees. Zbl 1110.68124Geurts, Pierre; Ernst, Damien; Wehenkel, Louis 45 2006 Concept decompositions for large sparse text data using clustering. Zbl 0970.68167Dhillon, Inderjit S.; Modha, Dharmendra S. 43 2001 Unsupervised learning by probabilistic latent semantic analysis. Zbl 0970.68130Hofmann, Thomas 43 2001 Robust classification for imprecise environments. Zbl 0969.68126Provost, Foster; Fawcett, Tom 43 2001 Learning conjunctions of Horn clauses. Zbl 0766.68107Angluin, Dana; Frazier, Michael; Pitt, Leonard 43 1992 Approximation and estimation bounds for artificial neural networks. Zbl 0818.68127Barron, Andrew R. 42 1994 Reduction techniques for instance-based learning algorithms. Zbl 0954.68126Wilson, D. Randall; Martinez, Tony R. 41 2000 Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks. Zbl 1033.68104Friedman, Nir; Koller, Daphne 41 2003 Generalized low rank approximations of matrices. Zbl 1087.65043Ye, Jieping 40 2005 Training invariant support vector machines. Zbl 0998.68102Decoste, Dennis; Schölkopf, Bernhard 36 2002 On the learnability and design of output codes for multiclass problems. Zbl 1012.68155Crammer, Koby; Singer, Yoram 36 2002 Inference for the generalization error. 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Zbl 0998.68105Demiriz, Ayhan; Bennett, Kristin P.; Shawe-Taylor, John 30 2002 Selective sampling using the query by committee algorithm. Zbl 0881.68093Freund, Yoav; Seung, H. Sebastian; Shamir, Eli; Tishby, Naftali 29 1997 Cutting-plane training of structural SVMs. Zbl 1235.68161Joachims, Thorsten; Finley, Thomas; Yu, Chun-Nam John 29 2009 Factorial hidden Markov models. Zbl 0892.68080Ghahramani, Zoubin; Jordan, Michael I. 28 1997 Convergence results for single-step on-policy reinforcement-learning algorithms. Zbl 0954.68127Singh, Satinder; Jaakkola, Tommi; Littman, Michael L.; Szepesvári, Csaba 28 2000 An algorithmic theory of learning: Robust concepts and random projection. Zbl 1095.68092Arriaga, Rosa I.; Vempala, Santosh 28 2006 Practical issues in temporal difference learning. Zbl 0772.68075Tesauro, Gerald 28 1992 Logistic regression, AdaBoost and Bregman distances. Zbl 0998.68123Collins, Michael; Schapire, Robert E.; Singer, Yoram 27 2002 Support vector machines for classification in nonstandard situations. Zbl 0998.68103Lin, Yi; Lee, Yoonkyung; Wahba, Grace 27 2002 Mixtures of factor analysers. Bayesian estimation and inference by stochastic simulation. Zbl 1033.68085Fokoué, Ernest; Titterington, D. M. 26 2003 Tracking the best expert. Zbl 0912.68165Herbster, Mark; Warmuth, Manfred K. 26 1998 Not so naive Bayes: Aggregating one-dependence estimators. Zbl 1075.68078Webb, Geoffrey I.; Boughton, Janice R.; Wang, Zhihai 25 2005 Logistic model trees. Zbl 1101.68767Landwehr, Niels; Hall, Mark; Frank, Eibe 25 2005 Convergence of a generalized SMO algorithm for SVM classifier design. Zbl 0998.68109Keerthi, S. S.; Gilbert, E. G. 25 2002 Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers. Zbl 0831.68087Goldberg, Paul W.; Jerrum, Mark R. 24 1995 Tree induction for probability-based ranking. Zbl 1039.68105Provost, Foster; Domingos, Pedro 24 2003 Nonparametric time series prediction through adaptive model selection. Zbl 0954.68124Meir, Ron 23 2000 On label dependence and loss minimization in multi-label classification. Zbl 1243.68237Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei; Hüllermeier, Eyke 23 2012 Characteristic sets for polynomial grammatical inference. Zbl 0884.68107de la Higuera, Colin 22 1997 Efficient read-restricted monotone CNF/DNF dualization by learning with membership queries. Zbl 0948.68097Domingo, Carlos; Mishra, Nina; Pitt, Leonard 21 1999 Relative loss bounds for on-line density estimation with the exponential family of distributions. Zbl 0988.68173Azoury, Katy S.; Warmuth, M. K. 21 2001 Kernel matching pursuit. Zbl 0998.68120Vincent, Pascal; Bengio, Yoshua 21 2002 Using iterated bagging to debias regressions. Zbl 1052.68109Breiman, Leo 21 2001 External control in Markovian genetic regulatory networks. Zbl 1039.68161Datta, Aniruddha; Choudhary, Ashish; Bittner, Michael L.; Dougherty, Edward R. 21 2003 The hierarchical hidden Markov model: Analysis and applications. Zbl 0901.68178Fine, Shai; Singer, Yoram; Tishby, Naftali 20 1998 Adaptive versus nonadaptive attribute-efficient learning. Zbl 0965.68029Damaschke, Peter 20 2000 Some PAC-Bayesian theorems. Zbl 0945.68157McAllester, David A. 20 1999 The power of amnesia: Learning probabilistic automata with variable memory length. Zbl 0869.68066Ron, Dana; Singer, Yoram; Tishby, Naftali 20 1996 Learning with tensors: a framework based on convex optimization and spectral regularization. Zbl 1319.68191Signoretto, Marco; Dinh, Quoc Tran; De Lathauwer, Lieven; Suykens, Johan A. K. 20 2014 Detecting communities and their evolutions in dynamic social networks – a Bayesian approach. Zbl 1237.91189Yang, Tianbao; Chi, Yun; Zhu, Shenghuo; Gong, Yihong; Jin, Rong 20 2011 The convergence of \(TD(\lambda)\) for general \(\lambda\). 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Zbl 0766.68113Maass, Wolfgang; Turán, György 18 1992 Elevator group control using multiple reinforcement learning agents. Zbl 0913.68174Crites, Robert H.; Barto, Andrew G. 18 1998 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables. Zbl 0894.68124Chickering, David Maxwell; Heckerman, David 17 1997 Sparse canonical correlation analysis. Zbl 1237.68148Hardoon, David R.; Shawe-Taylor, John 17 2011 RE-EM trees: a data mining approach for longitudinal and clustered data. Zbl 1238.68131Sela, Rebecca J.; Simonoff, Jeffrey S. 17 2012 Learnable evolution model: Evolutionary processes guided by machine learning. Zbl 0960.68602Michalski, Ryszard S. 17 2000 Robust learning with missing data. Zbl 1007.68154Ramoni, Marco; Sebastiani, Paola 17 2001 Gradient descent optimizes over-parameterized deep ReLU networks. Zbl 07205217Zou, Difan; Cao, Yuan; Zhou, Dongruo; Gu, Quanquan 7 2020 A survey on semi-supervised learning. 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