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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.
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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

Publications by Year

Citations contained in zbMATH Open

687 Publications have been cited 8,986 times in 6,470 Documents Cited by Year
Random forests. Zbl 1007.68152
Breiman, Leo
773
2001
Support-vector networks. Zbl 0831.68098
Cortes, Corinna; Vapnik, Vladimir
679
1995
Bagging predictors. Zbl 0858.68080
Breiman, Leo
521
1996
Gene selection for cancer classification using support vector machines. Zbl 0998.68111
Guyon, Isabelle; Weston, Jason; Barnhill, Stephen; Vapnik, Vladimir
192
2002
Learning Bayesian networks: The combination of knowledge and statistical data. Zbl 0831.68096
Heckerman, David; Geiger, Dan; Chickering, David M.
181
1995
\({\mathcal Q}\)-learning. Zbl 0773.68062
Watkins, Christopher J. C. H.; Dayan, Peter
178
1992
Finite-time analysis of the multiarmed bandit problem. Zbl 1012.68093
Auer, Peter; Cesa-Bianchi, Nicolò; Fischer, Paul
161
2002
A Bayesian method for the induction of probabilistic networks from data. Zbl 0766.68109
Cooper, Gregory F.; Herskovits, Edward
157
1992
An introduction to variational methods for graphical models. Zbl 0945.68164
Jordan, I. Michael; Ghahramani, Zoubin; Jaakkola, Tommi S.; Saul, Lawrence K.
146
1999
Bayesian network classifiers. Zbl 0892.68077
Friedman, Nir; Geiger, Dan; Goldszmidt, Moises
142
1997
Choosing multiple parameters for support vector machines. Zbl 0998.68101
Chapelle, Olivier; Vapnik, Vladimir; Bousquet, Olivier; Mukherjee, Sayan
114
2002
Correlation clustering. Zbl 1089.68085
Bansal, Nikhil; Blum, Avrim; Chawla, Shuchi
109
2004
Improved boosting algorithms using confidence-rated predictions. Zbl 0945.68194
Schapire, Robert E.; Singer, Yoram
99
1999
On the optimality of the simple Bayesian classifier under zero-one loss. Zbl 0892.68076
Domingos, Pedro; Pazzani, Michael
96
1997
NP-hardness of Euclidean sum-of-squares clustering. Zbl 1378.68047
Aloise, Daniel; Deshpande, Amit; Hansen, Pierre; Popat, Preyas
95
2009
An introduction to MCMC for machine learning. Zbl 1033.68081
Andrieu, Christophe; de Freitas, Nando; Doucet, Arnaud; Jordan, Michael I.
83
2003
Soft margins for AdaBoost. Zbl 0969.68128
Rätsch, G.; Onoda, T.; Müller, K.-R.
79
2001
Semi-supervised learning on Riemannian manifolds. Zbl 1089.68086
Belkin, Mikhail; Niyogi, Partha
68
2004
Text classification from labeled and unlabeled documents using EM. Zbl 0949.68162
Nigam, Kamal; McCallum, Andrew Kachites; Thrun, Sebastian; Mitchell, Tom
67
2000
Simple statistical gradient-following algorithms for connectionist reinforcement learning. Zbl 0772.68076
Williams, Ronald J.
62
1992
BoosTexter: A boosting-based system for text categorization. Zbl 0951.68561
Schapire, Robert E.; Singer, Yoram
61
2000
A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Zbl 0969.68669
Lim, Tjen-Sien; Loh, Wei-Yin; Shih, Yu-Shan
59
2000
Very simple classification rules perform well on most commonly used datasets. Zbl 0850.68278
Holte, Robert C.
58
1993
Support vector data description. Zbl 1078.68728
Tax, David M. J.; Duin, Robert P. W.
55
2004
Multicategory proximal support vector machine classifiers. Zbl 1101.68758
Fung, Glenn M.; Mangasarian, O. L.
55
2005
Toward efficient agnostic learning. Zbl 0938.68797
Kearns, 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 1007.68180
Hand, David J.; Till, Robert J.
54
2001
Stacked regressions. Zbl 0849.68104
Breiman, Leo
52
1996
Learning from different teachers. Zbl 1027.68106
Angluin, Dana; Kriķis, Mārtiņš
51
2003
Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Zbl 1027.68113
Kuncheva, Ludmila I.; Whitaker, Christopher J.
50
2003
Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data. Zbl 1039.68103
Monti, Stefano; Tamayo, Pablo; Mesirov, Jill; Golub, Todd
48
2003
Asynchronous stochastic approximation and Q-learning. Zbl 0820.68105
Tsitsiklis, John N.
47
1994
Theoretical and empirical analysis of ReliefF and RReliefF. Zbl 1076.68065
Robnik-Šikonja, Marko; Kononenko, Igor
46
2003
Model selection and error estimation. Zbl 0998.68117
Bartlett, Peter L.; Boucheron, Stéphane; Lugosi, Gábor
46
2002
Clustering large graphs via the singular value decomposition. Zbl 1089.68090
Drineas, P.; Frieze, A.; Kannan, R.; Vempala, S.; Vinay, V.
45
2004
Benchmarking least squares support vector machine classifiers. Zbl 1078.68737
van 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 1110.68124
Geurts, Pierre; Ernst, Damien; Wehenkel, Louis
45
2006
Concept decompositions for large sparse text data using clustering. Zbl 0970.68167
Dhillon, Inderjit S.; Modha, Dharmendra S.
43
2001
Unsupervised learning by probabilistic latent semantic analysis. Zbl 0970.68130
Hofmann, Thomas
43
2001
Robust classification for imprecise environments. Zbl 0969.68126
Provost, Foster; Fawcett, Tom
43
2001
Learning conjunctions of Horn clauses. Zbl 0766.68107
Angluin, Dana; Frazier, Michael; Pitt, Leonard
43
1992
Approximation and estimation bounds for artificial neural networks. Zbl 0818.68127
Barron, Andrew R.
42
1994
Reduction techniques for instance-based learning algorithms. Zbl 0954.68126
Wilson, D. Randall; Martinez, Tony R.
41
2000
Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks. Zbl 1033.68104
Friedman, Nir; Koller, Daphne
41
2003
Generalized low rank approximations of matrices. Zbl 1087.65043
Ye, Jieping
40
2005
Training invariant support vector machines. Zbl 0998.68102
Decoste, Dennis; Schölkopf, Bernhard
36
2002
On the learnability and design of output codes for multiclass problems. Zbl 1012.68155
Crammer, Koby; Singer, Yoram
36
2002
Inference for the generalization error. Zbl 1039.68104
Nadeau, Claude; Bengio, Yoshua
36
2003
Large margin classification using the perceptron algorithm. Zbl 0944.68535
Freund, Yoav; Schapire, Robert E.
35
1999
Robust ordinal regression in preference learning and ranking. Zbl 1300.68040
Corrente, Salvatore; Greco, Salvatore; Kadziński, Miłosz; Słowiński, Roman
35
2013
On the handling of continuous-valued attributes in decision tree generation. Zbl 0767.68084
Fayyad, Usama M.; Irani, Keki B.
34
1992
Combined SVM-based feature selection and classification. Zbl 1137.90643
Neumann, Julia; Schnörr, Christoph; Steidl, Gabriele
34
2005
SPADE: An efficient algorithm for mining frequent sequences. Zbl 0970.68052
Zaki, Mohammed J.
33
2001
Adaptive probabilistic networks with hidden variables. Zbl 0892.68079
Binder, John; Koller, Daphne; Russell, Stuart; Kanazawa, Keiji
30
1997
Linear programming boosting via column generation. Zbl 0998.68105
Demiriz, Ayhan; Bennett, Kristin P.; Shawe-Taylor, John
30
2002
Selective sampling using the query by committee algorithm. Zbl 0881.68093
Freund, Yoav; Seung, H. Sebastian; Shamir, Eli; Tishby, Naftali
29
1997
Cutting-plane training of structural SVMs. Zbl 1235.68161
Joachims, Thorsten; Finley, Thomas; Yu, Chun-Nam John
29
2009
Factorial hidden Markov models. Zbl 0892.68080
Ghahramani, Zoubin; Jordan, Michael I.
28
1997
Convergence results for single-step on-policy reinforcement-learning algorithms. Zbl 0954.68127
Singh, Satinder; Jaakkola, Tommi; Littman, Michael L.; Szepesvári, Csaba
28
2000
An algorithmic theory of learning: Robust concepts and random projection. Zbl 1095.68092
Arriaga, Rosa I.; Vempala, Santosh
28
2006
Practical issues in temporal difference learning. Zbl 0772.68075
Tesauro, Gerald
28
1992
Logistic regression, AdaBoost and Bregman distances. Zbl 0998.68123
Collins, Michael; Schapire, Robert E.; Singer, Yoram
27
2002
Support vector machines for classification in nonstandard situations. Zbl 0998.68103
Lin, Yi; Lee, Yoonkyung; Wahba, Grace
27
2002
Mixtures of factor analysers. Bayesian estimation and inference by stochastic simulation. Zbl 1033.68085
Fokoué, Ernest; Titterington, D. M.
26
2003
Tracking the best expert. Zbl 0912.68165
Herbster, Mark; Warmuth, Manfred K.
26
1998
Not so naive Bayes: Aggregating one-dependence estimators. Zbl 1075.68078
Webb, Geoffrey I.; Boughton, Janice R.; Wang, Zhihai
25
2005
Logistic model trees. Zbl 1101.68767
Landwehr, Niels; Hall, Mark; Frank, Eibe
25
2005
Convergence of a generalized SMO algorithm for SVM classifier design. Zbl 0998.68109
Keerthi, S. S.; Gilbert, E. G.
25
2002
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers. Zbl 0831.68087
Goldberg, Paul W.; Jerrum, Mark R.
24
1995
Tree induction for probability-based ranking. Zbl 1039.68105
Provost, Foster; Domingos, Pedro
24
2003
Nonparametric time series prediction through adaptive model selection. Zbl 0954.68124
Meir, Ron
23
2000
On label dependence and loss minimization in multi-label classification. Zbl 1243.68237
Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei; Hüllermeier, Eyke
23
2012
Characteristic sets for polynomial grammatical inference. Zbl 0884.68107
de la Higuera, Colin
22
1997
Efficient read-restricted monotone CNF/DNF dualization by learning with membership queries. Zbl 0948.68097
Domingo, Carlos; Mishra, Nina; Pitt, Leonard
21
1999
Relative loss bounds for on-line density estimation with the exponential family of distributions. Zbl 0988.68173
Azoury, Katy S.; Warmuth, M. K.
21
2001
Kernel matching pursuit. Zbl 0998.68120
Vincent, Pascal; Bengio, Yoshua
21
2002
Using iterated bagging to debias regressions. Zbl 1052.68109
Breiman, Leo
21
2001
External control in Markovian genetic regulatory networks. Zbl 1039.68161
Datta, Aniruddha; Choudhary, Ashish; Bittner, Michael L.; Dougherty, Edward R.
21
2003
The hierarchical hidden Markov model: Analysis and applications. Zbl 0901.68178
Fine, Shai; Singer, Yoram; Tishby, Naftali
20
1998
Adaptive versus nonadaptive attribute-efficient learning. Zbl 0965.68029
Damaschke, Peter
20
2000
Some PAC-Bayesian theorems. Zbl 0945.68157
McAllester, David A.
20
1999
The power of amnesia: Learning probabilistic automata with variable memory length. Zbl 0869.68066
Ron, Dana; Singer, Yoram; Tishby, Naftali
20
1996
Learning with tensors: a framework based on convex optimization and spectral regularization. Zbl 1319.68191
Signoretto, 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 1237.91189
Yang, Tianbao; Chi, Yun; Zhu, Shenghuo; Gong, Yihong; Jin, Rong
20
2011
The convergence of \(TD(\lambda)\) for general \(\lambda\). Zbl 0773.68060
Dayan, Peter
20
1992
Bayesian methods for support vector machines: Evidence and predictive class probabilities. Zbl 0998.68098
Sollich, Peter
20
2002
Empirical and theoretical comparisons of selected criterion functions for document clustering. Zbl 1089.68615
Zhao, Ying; Karypis, George
19
2004
Kernel-based reinforcement learning. Zbl 1014.68069
Ormoneit, Dirk; Sen, Śaunak
19
2002
Technical update: Least-squares temporal difference learning. Zbl 1014.68072
Boyan, Justin A.
19
2002
Variable resolution discretization in optimal control. Zbl 1005.68086
Munos, Rémi; Moore, Andrew
19
2002
Optimal classification trees. Zbl 1455.68159
Bertsimas, Dimitris; Dunn, Jack
19
2017
A simple decomposition method for support vector machines. Zbl 0998.68108
Hsu, Chih-Wei; Lin, Chih-Jen
18
2002
Near-optimal reinforcement learning in polynomial time. Zbl 1014.68071
Kearns, Michael; Singh, Satinder
18
2002
Lower bound methods and separation results for on-line learning models. Zbl 0766.68113
Maass, Wolfgang; Turán, György
18
1992
Elevator group control using multiple reinforcement learning agents. Zbl 0913.68174
Crites, Robert H.; Barto, Andrew G.
18
1998
Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables. Zbl 0894.68124
Chickering, David Maxwell; Heckerman, David
17
1997
Sparse canonical correlation analysis. Zbl 1237.68148
Hardoon, David R.; Shawe-Taylor, John
17
2011
RE-EM trees: a data mining approach for longitudinal and clustered data. Zbl 1238.68131
Sela, Rebecca J.; Simonoff, Jeffrey S.
17
2012
Learnable evolution model: Evolutionary processes guided by machine learning. Zbl 0960.68602
Michalski, Ryszard S.
17
2000
Robust learning with missing data. Zbl 1007.68154
Ramoni, Marco; Sebastiani, Paola
17
2001
Gradient descent optimizes over-parameterized deep ReLU networks. Zbl 07205217
Zou, Difan; Cao, Yuan; Zhou, Dongruo; Gu, Quanquan
7
2020
A survey on semi-supervised learning. Zbl 1441.68215
van Engelen, Jesper E.; Hoos, Holger H.
2
2020
Learning from positive and unlabeled data: a survey. Zbl 07224983
Bekker, Jessa; Davis, Jesse
1
2020
On cognitive preferences and the plausibility of rule-based models. Zbl 07224986
Fürnkranz, Johannes; Kliegr, Tomáš; Paulheim, Heiko
1
2020
Exploiting causality in gene network reconstruction based on graph embedding. Zbl 07224999
Pio, Gianvito; Ceci, Michelangelo; Prisciandaro, Francesca; Malerba, Donato
1
2020
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning. Zbl 07255755
Rivolli, Adriano; Read, Jesse; Soares, Carlos; Pfahringer, Bernhard; de Carvalho, André C. P. L. F.
1
2020
Robust classification via MOM minimization. Zbl 07255760
Lecué, Guillaume; Lerasle, Matthieu; Mathieu, Timlothée
1
2020
Correction to: “Robust classification via MOM minimization”. Zbl 07255761
Lecué, Guillaume; Lerasle, Matthieu; Mathieu, Timothée
1
2020
Combining Bayesian optimization and Lipschitz optimization. Zbl 1446.90129
Ahmed, Mohamed Osama; Vaswani, Sharan; Schmidt, Mark
1
2020
On some graph-based two-sample tests for high dimension, low sample size data. Zbl 1446.62150
Sarkar, Soham; Biswas, Rahul; Ghosh, Anil K.
1
2020
Learning rates for kernel-based expectile regression. Zbl 07036664
Farooq, Muhammad; Steinwart, Ingo
4
2019
Learning efficient logic programs. Zbl 07073619
Cropper, Andrew; Muggleton, Stephen H.
3
2019
A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data. Zbl 1447.62048
Khare, Kshitij; Oh, Sang-Yun; Rahman, Syed; Rajaratnam, Bala
2
2019
\(N\)-ary decomposition for multi-class classification. Zbl 07073608
Zhou, Joey Tianyi; Tsang, Ivor W.; Ho, Shen-Shyang; Müller, Klaus-Robert
2
2019
Asymptotically optimal algorithms for budgeted multiple play bandits. Zbl 1446.91032
Luedtke, Alex; Kaufmann, Emilie; Chambaz, Antoine
1
2019
Good arm identification via bandit feedback. Zbl 07073604
Kano, Hideaki; Honda, Junya; Sakamaki, Kentaro; Matsuura, Kentaro; Nakamura, Atsuyoshi; Sugiyama, Masashi
1
2019
An accelerated variance reducing stochastic method with Douglas-Rachford splitting. Zbl 07073610
Liu, Jingchang; Xu, Linli; Shen, Shuheng; Ling, Qing
1
2019
Arbitrage of forecasting experts. Zbl 07073612
Cerqueira, Vitor; Torgo, Luís; Pinto, Fábio; Soares, Carlos
1
2019
Accelerated gradient boosting. Zbl 07073614
Biau, G.; Cadre, B.; Rouvière, L.
1
2019
Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion. Zbl 07073615
Yan, He; Ye, Qiao-Lin; Yu, Dong-Jun
1
2019
Semi-supervised online structure learning for composite event recognition. Zbl 07073620
Michelioudakis, Evangelos; Artikis, Alexander; Paliouras, Georgios
1
2019
Lifted discriminative learning of probabilistic logic programs. Zbl 07073621
Nguembang Fadja, Arnaud; Riguzzi, Fabrizio
1
2019
Probabilistic and exact frequent subtree mining in graphs beyond forests. Zbl 07073622
Welke, Pascal; Horváth, Tamás; Wrobel, Stefan
1
2019
A Riemannian gossip approach to subspace learning on Grassmann manifold. Zbl 07097461
Mishra, Bamdev; Kasai, Hiroyuki; Jawanpuria, Pratik; Saroop, Atul
1
2019
Efficient feature selection using shrinkage estimators. Zbl 07097469
Sechidis, Konstantinos; Azzimonti, Laura; Pocock, Adam; Corani, Giorgio; Weatherall, James; Brown, Gavin
1
2019
Data scarcity, robustness and extreme multi-label classification. Zbl 07097472
Babbar, Rohit; Schölkopf, Bernhard
1
2019
Efficient learning with robust gradient descent. Zbl 1431.68108
Holland, Matthew J.; Ikeda, Kazushi
1
2019
Modeling outcomes of soccer matches. Zbl 07024628
Tsokos, Alkeos; Narayanan, Santhosh; Kosmidis, Ioannis; Baio, Gianluca; Cucuringu, Mihai; Whitaker, Gavin; Király, Franz
1
2019
Rethinking statistical learning theory: learning using statistical invariants. Zbl 07036671
Vapnik, Vladimir; Izmailov, Rauf
1
2019
Nonparametric predictive distributions based on conformal prediction. Zbl 07036673
Vovk, Vladimir; Shen, Jieli; Manokhin, Valery; Xie, Min-ge
1
2019
Visualizing and understanding sum-product networks. Zbl 07036678
Vergari, Antonio; Di Mauro, Nicola; Esposito, Floriana
1
2019
Analysis of classifiers’ robustness to adversarial perturbations. Zbl 1462.62383
Fawzi, Alhussein; Fawzi, Omar; Frossard, Pascal
6
2018
1-bit matrix completion: PAC-Bayesian analysis of a variational approximation. Zbl 1461.15032
Cottet, Vincent; Alquier, Pierre
6
2018
The online performance estimation framework: heterogeneous ensemble learning for data streams. Zbl 1457.68320
van Rijn, Jan N.; Holmes, Geoffrey; Pfahringer, Bernhard; Vanschoren, Joaquin
4
2018
Instance spaces for machine learning classification. Zbl 1457.68235
Muñoz, Mario A.; Villanova, Laura; Baatar, Davaatseren; Smith-Miles, Kate
3
2018
Wasserstein discriminant analysis. Zbl 07024620
Flamary, Rémi; Cuturi, Marco; Courty, Nicolas; Rakotomamonjy, Alain
3
2018
Ultra-strong machine learning: comprehensibility of programs learned with ILP. Zbl 1461.68191
Muggleton, Stephen H.; Schmid, Ute; Zeller, Christina; Tamaddoni-Nezhad, Alireza; Besold, Tarek
3
2018
Efficient benchmarking of algorithm configurators via model-based surrogates. Zbl 1457.68341
Eggensperger, Katharina; Lindauer, Marius; Hoos, Holger H.; Hutter, Frank; Leyton-Brown, Kevin
2
2018
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization. Zbl 1457.68242
Wistuba, Martin; Schilling, Nicolas; Schmidt-Thieme, Lars
2
2018
Simple strategies for semi-supervised feature selection. Zbl 1457.68239
Sechidis, Konstantinos; Brown, Gavin
2
2018
Robust Plackett-Luce model for \(k\)-ary crowdsourced preferences. Zbl 1466.91101
Han, Bo; Pan, Yuangang; Tsang, Ivor W.
2
2018
Simpler PAC-Bayesian bounds for hostile data. Zbl 1464.62238
Alquier, Pierre; Guedj, Benjamin
2
2018
Dyad ranking using Plackett-Luce models based on joint feature representations. Zbl 1464.62232
Schäfer, Dirk; Hüllermeier, Eyke
2
2018
ML-plan: automated machine learning via hierarchical planning. Zbl 06990191
Mohr, Felix; Wever, Marcel; Hüllermeier, Eyke
2
2018
Metalearning and algorithm selection: progress, state of the art and introduction to the 2018 special issue. Zbl 1386.68125
Brazdil, Pavel; Giraud-Carrier, Christophe
1
2018
Speeding up algorithm selection using average ranking and active testing by introducing runtime. Zbl 1462.62138
Abdulrahman, Salisu Mamman; Brazdil, Pavel; van Rijn, Jan N.; Vanschoren, Joaquin
1
2018
Data complexity meta-features for regression problems. Zbl 1462.62392
Lorena, Ana C.; Maciel, Aron I.; de Miranda, Péricles B. C.; Costa, Ivan G.; Prudêncio, Ricardo B. C.
1
2018
The randomized information coefficient: assessing dependencies in noisy data. Zbl 1462.62362
Romano, Simone; Vinh, Nguyen Xuan; Verspoor, Karin; Bailey, James
1
2018
Manifold-based synthetic oversampling with manifold conformance estimation. Zbl 1457.68227
Bellinger, Colin; Drummond, Christopher; Japkowicz, Nathalie
1
2018
Distributed multi-task classification: a decentralized online learning approach. Zbl 1458.68191
Zhang, Chi; Zhao, Peilin; Hao, Shuji; Soh, Yeng Chai; Lee, Bu Sung; Miao, Chunyan; Hoi, Steven C. H.
1
2018
Crowdsourcing with unsure option. Zbl 1460.91060
Ding, Yao-Xiang; Zhou, Zhi-Hua
1
2018
Semi-supervised AUC optimization based on positive-unlabeled learning. Zbl 1458.68178
Sakai, Tomoya; Niu, Gang; Sugiyama, Masashi
1
2018
An adaptive heuristic for feature selection based on complementarity. Zbl 07024623
Singha, Sumanta; Shenoy, Prakash P.
1
2018
Improved maximum inner product search with better theoretical guarantee using randomized partition trees. Zbl 1461.68217
Keivani, Omid; Sinha, Kaushik; Ram, Parikshit
1
2018
Meta-interpretive learning from noisy images. Zbl 1461.68190
Muggleton, Stephen; Dai, Wang-Zhou; Sammut, Claude; Tamaddoni-Nezhad, Alireza; Wen, Jing; Zhou, Zhi-Hua
1
2018
High-dimensional penalty selection via minimum description length principle. Zbl 06990183
Miyaguchi, Kohei; Yamanishi, Kenji
1
2018
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. Zbl 06990184
Petitjean, François; Buntine, Wray; Webb, Geoffrey I.; Zaidi, Nayyar
1
2018
Stagewise learning for noisy \(k\)-ary preferences. Zbl 06990185
Pan, Yuangang; Han, Bo; Tsang, Ivor W.
1
2018
Learning from binary labels with instance-dependent noise. Zbl 06990194
Menon, Aditya Krishna; van Rooyen, Brendan; Natarajan, Nagarajan
1
2018
Optimizing non-decomposable measures with deep networks. Zbl 06990195
Sanyal, Amartya; Kumar, Pawan; Kar, Purushottam; Chawla, Sanjay; Sebastiani, Fabrizio
1
2018
Ensembles for multi-target regression with random output selections. Zbl 06990220
Breskvar, Martin; Kocev, Dragi; Džeroski, Sašo
1
2018
Probabilistic frequent subtrees for efficient graph classification and retrieval. Zbl 06990225
Welke, Pascal; Horváth, Tamás; Wrobel, Stefan
1
2018
Optimal classification trees. Zbl 1455.68159
Bertsimas, Dimitris; Dunn, Jack
19
2017
Generalization bounds for non-stationary mixing processes. Zbl 1412.68186
Kuznetsov, Vitaly; Mohri, Mehryar
5
2017
Statistical comparison of classifiers through Bayesian hierarchical modelling. Zbl 1440.62241
Corani, Giorgio; Benavoli, Alessio; Demšar, Janez; Mangili, Francesca; Zaffalon, Marco
4
2017
Exceptional contextual subgraph mining. Zbl 1458.05246
Kaytoue, Mehdi; Plantevit, Marc; Zimmermann, Albrecht; Bendimerad, Anes; Robardet, Céline
3
2017
Efficient parameter learning of Bayesian network classifiers. Zbl 1454.62183
Zaidi, Nayyar A.; Webb, Geoffrey I.; Carman, Mark J.; Petitjean, François; Buntine, Wray; Hynes, Mike; De Sterck, Hans
3
2017
Planning in hybrid relational MDPs. Zbl 1457.68254
Nitti, Davide; Belle, Vaishak; De Laet, Tinne; De Raedt, Luc
3
2017
Class-prior estimation for learning from positive and unlabeled data. Zbl 1412.68181
du Plessis, Marthinus C.; Niu, Gang; Sugiyama, Masashi
3
2017
Proximal average approximated incremental gradient descent for composite penalty regularized empirical risk minimization. Zbl 1459.62156
Cheung, Yiu-ming; Lou, Jian
3
2017
Asymptotic properties of Turing’s formula in relative error. Zbl 1440.62120
Grabchak, Michael; Zhang, Zhiyi
2
2017
Learning deep kernels in the space of dot product polynomials. Zbl 1454.68119
Donini, Michele; Aiolli, Fabio
2
2017
Cost-sensitive label embedding for multi-label classification. Zbl 1440.62245
Huang, Kuan-Hao; Lin, Hsuan-Tien
2
2017
Multi-label classification via multi-target regression on data streams. Zbl 1455.68178
Osojnik, Aljaž; Panov, Panče; Džeroski, Sašo
2
2017
Fast rates by transferring from auxiliary hypotheses. Zbl 1453.68153
Kuzborskij, Ilja; Orabona, Francesco
2
2017
On the use of stochastic local search techniques to revise first-order logic theories from examples. Zbl 1453.68172
Paes, Aline; Zaverucha, Gerson; Santos Costa, Vítor
2
2017
An empirical study of on-line models for relational data streams. Zbl 1453.68158
Srinivasan, Ashwin; Bain, Michael
2
2017
Adaptive edge weighting for graph-based learning algorithms. Zbl 1453.68152
Karasuyama, Masayuki; Mamitsuka, Hiroshi
2
2017
Optimal learning with Bernstein online aggregation. Zbl 1412.68196
Wintenberger, Olivier
2
2017
Online optimization for max-norm regularization. Zbl 1454.68132
Shen, Jie; Xu, Huan; Li, Ping
2
2017
Progressive random \(k\)-labelsets for cost-sensitive multi-label classification. Zbl 1454.62203
Wu, Yu-Ping; Lin, Hsuan-Tien
2
2017
Robust regression using biased objectives. Zbl 1460.62105
Holland, Matthew J.; Ikeda, Kazushi
1
2017
Preserving differential privacy in convolutional deep belief networks. Zbl 1455.68192
Phan, NhatHai; Wu, Xintao; Dou, Dejing
1
2017
Projected estimators for robust semi-supervised classification. Zbl 1455.68172
Krijthe, Jesse H.; Loog, Marco
1
2017
Homotopy continuation approaches for robust SV classification and regression. Zbl 1455.68186
Suzumura, Shinya; Ogawa, Kohei; Sugiyama, Masashi; Karasuyama, Masayuki; Takeuchi, Ichiro
1
2017
Boosted multivariate trees for longitudinal data. Zbl 1453.68156
Pande, Amol; Li, Liang; Rajeswaran, Jeevanantham; Ehrlinger, John; Kogalur, Udaya B.; Blackstone, Eugene H.; Ishwaran, Hemant
1
2017
Geometry-aware principal component analysis for symmetric positive definite matrices. Zbl 1459.62236
Horev, Inbal; Yger, Florian; Sugiyama, Masashi
1
2017
Surrogate regret bounds for generalized classification performance metrics. Zbl 1459.62116
Kotłowski, Wojciech; Dembczyński, Krzysztof
1
2017
Supersparse linear integer models for optimized medical scoring systems. Zbl 1406.62144
Ustun, Berk; Rudin, Cynthia
13
2016
Multi-target regression via input space expansion: treating targets as inputs. Zbl 1454.68134
Spyromitros-Xioufis, Eleftherios; Tsoumakas, Grigorios; Groves, William; Vlahavas, Ioannis
11
2016
Generalization bounds for metric and similarity learning. Zbl 1345.68250
Cao, Qiong; Guo, Zheng-Chu; Ying, Yiming
8
2016
Tikhonov, Ivanov and Morozov regularization for support vector machine learning. Zbl 1357.68179
Oneto, Luca; Ridella, Sandro; Anguita, Davide
6
2016
Learning deterministic probabilistic automata from a model checking perspective. Zbl 1454.68061
Mao, Hua; Chen, Yingke; Jaeger, Manfred; Nielsen, Thomas D.; Larsen, Kim G.; Nielsen, Brian
4
2016
Lifted generative learning of Markov logic networks. Zbl 1357.68187
Van Haaren, Jan; Van den Broeck, Guy; Meert, Wannes; Davis, Jesse
4
2016
Propagation kernels: efficient graph kernels from propagated information. Zbl 1357.68178
Neumann, Marion; Garnett, Roman; Bauckhage, Christian; Kersting, Kristian
4
2016
Spatio-temporal convolution kernels. Zbl 1357.68174
Knauf, Konstantin; Memmert, Daniel; Brefeld, Ulf
4
2016
Probabilistic logic programming for hybrid relational domains. Zbl 1362.68247
Nitti, Davide; De Laet, Tinne; De Raedt, Luc
4
2016
Subjective interestingness of subgraph patterns. Zbl 1392.68376
van Leeuwen, Matthijs; De Bie, Tijl; Spyropoulou, Eirini; Mesnage, Cédric
4
2016
An aggregate and iterative disaggregate algorithm with proven optimality in machine learning. Zbl 1454.68127
Park, Young Woong; Klabjan, Diego
2
2016
Probabilistic archetypal analysis. Zbl 1352.62083
Seth, Sohan; Eugster, Manuel J. A.
2
2016
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23 Kel’manov, Aleksandr Vasil’evich
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20 Powell, Warren Buckler
18 Bühlmann, Peter
18 De Raedt, Luc
17 Carrizosa, Emilio
17 Liu, Yufeng
15 Alquier, Pierre
15 Greco, Salvatore
15 Pham Dinh Tao
14 Wang, Shitong
13 Bshouty, Nader H.
13 Corrente, Salvatore
13 Kadziński, Miłosz
13 Mohri, Mehryar
13 Suzuki, Taiji
13 Zhou, Dingxuan
13 Zhou, Zhihua
12 Bouguila, Nizar
12 Chung, Fu-Lai
12 Corander, Jukka
12 Corani, Giorgio
12 Khandeev, V. I.
12 Larocque, Denis
12 Słowiński, Roman
12 Suykens, Johan A. K.
12 Zaffalon, Marco
11 Bielza, Concha
11 Hothorn, Torsten
11 Inoue, Katsumi
11 Long, Philip M.
11 Lugosi, Gábor
11 Pardalos, Panos M.
11 Rudin, Cynthia
11 Shao, Yuanhai
11 Tian, Yingjie
11 Waegeman, Willem
11 Zhang, Chunxia
10 Bartlett, Peter L.
10 De Baets, Bernard
10 Deng, Naiyang
10 Hand, David J.
10 Ishwaran, Hemant
10 Lin, Chih-Jen
10 Peters, Jan
10 Pyatkin, Artem V.
10 Servedio, Rocco A.
10 Steinwart, Ingo
9 Balcázar, José Luis
9 Bertsimas, Dimitris John
9 Blei, David M.
9 de Campos, Cassio Polpo
9 Džeroski, Sašo
9 Guo, Jiong
9 Hu, Qinghua
9 Hullermeier, Eyke
9 Ishii, Shin
9 Komusiewicz, Christian
9 Lausen, Berthold
9 Lu, Wenbin
9 Mhaskar, Hrushikesh N.
9 Munos, Rémi
9 Pedrycz, Witold
9 Puerta, Jose Miguel
9 Song, Rui
9 Stoltz, Gilles
9 Takeda, Akiko
9 Turán, Gyorgy
9 Yang, Yuhong
9 Yoshinaka, Ryo
9 Zhang, Jiangshe
8 Biau, Gérard
8 Colbourn, Charles J.
8 de Campos, Luis Miguel
8 Elbassioni, Khaled M.
8 Feldman, Vitaly
8 Gámez, José Antonio
8 Gnecco, Giorgio
8 Greiner, Russell
8 Husmeier, Dirk
8 Kim, Yongdai
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8 Makino, Kazuhisa
8 Muggleton, Stephen H.
8 Niedermeier, Rolf
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8 Runger, George C.
8 Sanguineti, Marcello
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12 Complexity
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