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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: 1,497 Publications (since 1988)
References Indexed: 1,051 Publications with 44,473 References.
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Authors

23 Sugiyama, Masashi
20 Muggleton, Stephen H.
17 Hullermeier, Eyke
16 De Raedt, Luc
15 Džeroski, Sašo
13 Srinivasan, Ashwin
13 Webb, Geoffrey I.
11 Flach, Peter A.
11 Warmuth, Manfred K.
10 Inoue, Katsumi
10 Long, Philip M.
10 Riguzzi, Fabrizio
10 Schapire, Robert E.
10 Singer, Yoram
10 Zhou, Zhihua
9 Blockeel, Hendrik
9 Blum, Avrim L.
9 Cesa-Bianchi, Nicolò
9 Jin, Rong
9 Ting, Kai Ming
8 Bertsimas, Dimitris John
8 Fürnkranz, Johannes
8 Gama, João
8 Kaski, Samuel
8 Lavrač, Nada
8 Mansour, Yishay
8 Roth, Dan
8 Shawe-Taylor, John
8 Singh, Satinder Pal
7 Ben-David, Shai
7 Kearns, Michael Justin
7 Lugosi, Gábor
7 Provost, Foster
7 Ramon, Jan
7 Suykens, Johan A. K.
7 Szepesvári, Csaba
7 Tamaddoni-Nezhad, Alireza
7 Yang, Tianbao
7 Zhu, Shenghuo
6 Angluin, Dana
6 Bengio, Yoshua
6 Breiman, Leo
6 Cohen, William W.
6 Crammer, Koby
6 Cropper, Andrew
6 Davis, Jesse
6 Domingos, Pedro
6 Holmes, Geoffrey
6 Kersting, Kristian
6 Kocev, Dragi
6 Landwehr, Niels
6 Lin, Hsuan-Tien
6 Morik, Katharina
6 Pfahringer, Bernhard
6 Tishby, Naftali
6 Tsang, Ivor Wai-Hung
6 Vapnik, Vladimir Naumovich
6 Wrobel, Stefan
6 Železný, Filip
5 Auer, Peter
5 Bennett, Kristin P.
5 Bratko, Ivan
5 Brazdil, Pavel B.
5 Bruynooghe, Maurice
5 Bshouty, Nader H.
5 Buntine, Wray L.
5 Cheng, Weiwei
5 Corani, Giorgio
5 de la Higuera, Colin
5 Frasconi, Paolo
5 Gallinari, Patrick
5 Gentile, Claudio
5 Getoor, Lise
5 Hoi, Steven C. H.
5 Horváth, Tamás L.
5 Kimmig, Angelika
5 Malerba, Donato
5 Munos, Rémi
5 Natarajan, Sriraam
5 Pahikkala, Tapio
5 Peters, Jan
5 Sammut, Claude
5 Scheffer, Tobias
5 Sebag, Michèle
5 Sebban, Marc
5 Tadepalli, Prasad
5 Thrun, Sebastian
5 Tsitsiklis, John N.
5 Vovk, Vladimir G.
5 Washio, Takashi
5 Weston, Jason
5 Zaverucha, Gerson
5 Zhang, Lijun
5 Zhao, Peilin
4 Balcan, Maria-Florina
4 Baxter, Jonathan
4 Benavoli, Alessio
4 Brodley, Carla E.
4 Brown, Gavin
4 Dayan, Peter
...and 2,713 more Authors

Publications by Year

Citations contained in zbMATH Open

889 Publications have been cited 11,063 times in 7,799 Documents Cited by Year
Random forests. Zbl 1007.68152
Breiman, Leo
972
2001
Support-vector networks. Zbl 0831.68098
Cortes, Corinna; Vapnik, Vladimir
786
1995
Bagging predictors. Zbl 0858.68080
Breiman, Leo
611
1996
\({\mathcal Q}\)-learning. Zbl 0773.68062
Watkins, Christopher J. C. H.; Dayan, Peter
225
1992
Gene selection for cancer classification using support vector machines. Zbl 0998.68111
Guyon, Isabelle; Weston, Jason; Barnhill, Stephen; Vapnik, Vladimir
215
2002
Learning Bayesian networks: The combination of knowledge and statistical data. Zbl 0831.68096
Heckerman, David; Geiger, Dan; Chickering, David M.
207
1995
Finite-time analysis of the multiarmed bandit problem. Zbl 1012.68093
Auer, Peter; Cesa-Bianchi, Nicolò; Fischer, Paul
191
2002
An introduction to variational methods for graphical models. Zbl 0945.68164
Jordan, I. Michael; Ghahramani, Zoubin; Jaakkola, Tommi S.; Saul, Lawrence K.
187
1999
A Bayesian method for the induction of probabilistic networks from data. Zbl 0766.68109
Cooper, Gregory F.; Herskovits, Edward
171
1992
Bayesian network classifiers. Zbl 0892.68077
Friedman, Nir; Geiger, Dan; Goldszmidt, Moises
155
1997
Correlation clustering. Zbl 1089.68085
Bansal, Nikhil; Blum, Avrim; Chawla, Shuchi
139
2004
Choosing multiple parameters for support vector machines. Zbl 0998.68101
Chapelle, Olivier; Vapnik, Vladimir; Bousquet, Olivier; Mukherjee, Sayan
127
2002
NP-hardness of Euclidean sum-of-squares clustering. Zbl 1378.68047
Aloise, Daniel; Deshpande, Amit; Hansen, Pierre; Popat, Preyas
115
2009
Improved boosting algorithms using confidence-rated predictions. Zbl 0945.68194
Schapire, Robert E.; Singer, Yoram
113
1999
An introduction to MCMC for machine learning. Zbl 1033.68081
Andrieu, Christophe; de Freitas, Nando; Doucet, Arnaud; Jordan, Michael I.
107
2003
On the optimality of the simple Bayesian classifier under zero-one loss. Zbl 0892.68076
Domingos, Pedro; Pazzani, Michael
101
1997
Simple statistical gradient-following algorithms for connectionist reinforcement learning. Zbl 0772.68076
Williams, Ronald J.
90
1992
Soft margins for AdaBoost. Zbl 0969.68128
Rätsch, G.; Onoda, T.; Müller, K.-R.
89
2001
Semi-supervised learning on Riemannian manifolds. Zbl 1089.68086
Belkin, Mikhail; Niyogi, Partha
73
2004
Text classification from labeled and unlabeled documents using EM. Zbl 0949.68162
Nigam, Kamal; McCallum, Andrew Kachites; Thrun, Sebastian; Mitchell, Tom
71
2000
BoosTexter: A boosting-based system for text categorization. Zbl 0951.68561
Schapire, Robert E.; Singer, Yoram
69
2000
A simple generalisation of the area under the ROC curve for multiple class classification problems. Zbl 1007.68180
Hand, David J.; Till, Robert J.
66
2001
Very simple classification rules perform well on most commonly used datasets. Zbl 0850.68278
Holte, Robert C.
63
1993
Stacked regressions. Zbl 0849.68104
Breiman, Leo
63
1996
Support vector data description. Zbl 1078.68728
Tax, David M. J.; Duin, Robert P. W.
63
2004
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
62
2000
Multicategory proximal support vector machine classifiers. Zbl 1101.68758
Fung, Glenn M.; Mangasarian, O. L.
61
2005
Toward efficient agnostic learning. Zbl 0938.68797
Kearns, Michael J.; Schapire, Robert E.; Sellie, Linda M.
57
1994
Asynchronous stochastic approximation and Q-learning. Zbl 0820.68105
Tsitsiklis, John N.
57
1994
Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Zbl 1027.68113
Kuncheva, Ludmila I.; Whitaker, Christopher J.
57
2003
Approximation and estimation bounds for artificial neural networks. Zbl 0818.68127
Barron, Andrew R.
56
1994
Concept decompositions for large sparse text data using clustering. Zbl 0970.68167
Dhillon, Inderjit S.; Modha, Dharmendra S.
54
2001
Extremely randomized trees. Zbl 1110.68124
Geurts, Pierre; Ernst, Damien; Wehenkel, Louis
54
2006
Robust classification for imprecise environments. Zbl 0969.68126
Provost, Foster; Fawcett, Tom
53
2001
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
53
2003
Model selection and error estimation. Zbl 0998.68117
Bartlett, Peter L.; Boucheron, Stéphane; Lugosi, Gábor
52
2002
Theoretical and empirical analysis of ReliefF and RReliefF. Zbl 1076.68065
Robnik-Šikonja, Marko; Kononenko, Igor
52
2003
Learning from different teachers. Zbl 1027.68106
Angluin, Dana; Kriķis, Mārtiņš
51
2003
Queries and concept learning. Zbl 1470.68050
Angluin, Dana
51
1988
Clustering large graphs via the singular value decomposition. Zbl 1089.68090
Drineas, P.; Frieze, A.; Kannan, R.; Vempala, S.; Vinay, V.
49
2004
Learning conjunctions of Horn clauses. Zbl 0766.68107
Angluin, Dana; Frazier, Michael; Pitt, Leonard
48
1992
Unsupervised learning by probabilistic latent semantic analysis. Zbl 0970.68130
Hofmann, Thomas
48
2001
Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks. Zbl 1033.68104
Friedman, Nir; Koller, Daphne
48
2003
Large margin classification using the perceptron algorithm. Zbl 0944.68535
Freund, Yoav; Schapire, Robert E.
46
1999
Reduction techniques for instance-based learning algorithms. Zbl 0954.68126
Wilson, D. Randall; Martinez, Tony R.
46
2000
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
46
2004
Generalized low rank approximations of matrices. Zbl 1087.65043
Ye, Jieping
41
2005
On the learnability and design of output codes for multiclass problems. Zbl 1012.68155
Crammer, Koby; Singer, Yoram
40
2002
Inference for the generalization error. Zbl 1039.68104
Nadeau, Claude; Bengio, Yoshua
40
2003
Robust ordinal regression in preference learning and ranking. Zbl 1300.68040
Corrente, Salvatore; Greco, Salvatore; Kadziński, Miłosz; Słowiński, Roman
39
2013
Training invariant support vector machines. Zbl 0998.68102
Decoste, Dennis; Schölkopf, Bernhard
38
2002
On the handling of continuous-valued attributes in decision tree generation. Zbl 0767.68084
Fayyad, Usama M.; Irani, Keki B.
37
1992
SPADE: An efficient algorithm for mining frequent sequences. Zbl 0970.68052
Zaki, Mohammed J.
37
2001
Logistic regression, AdaBoost and Bregman distances. Zbl 0998.68123
Collins, Michael; Schapire, Robert E.; Singer, Yoram
35
2002
Combined SVM-based feature selection and classification. Zbl 1137.90643
Neumann, Julia; Schnörr, Christoph; Steidl, Gabriele
35
2005
Markov logic networks. Zbl 1470.68221
Richardson, Matthew; Domingos, Pedro
35
2006
Linear programming boosting via column generation. Zbl 0998.68105
Demiriz, Ayhan; Bennett, Kristin P.; Shawe-Taylor, John
34
2002
Selective sampling using the query by committee algorithm. Zbl 0881.68093
Freund, Yoav; Seung, H. Sebastian; Shamir, Eli; Tishby, Naftali
34
1997
Cutting-plane training of structural SVMs. Zbl 1235.68161
Joachims, Thorsten; Finley, Thomas; Yu, Chun-Nam John
34
2009
Adaptive probabilistic networks with hidden variables. Zbl 0892.68079
Binder, John; Koller, Daphne; Russell, Stuart; Kanazawa, Keiji
33
1997
Convergence results for single-step on-policy reinforcement-learning algorithms. Zbl 0954.68127
Singh, Satinder; Jaakkola, Tommi; Littman, Michael L.; Szepesvári, Csaba
32
2000
Practical issues in temporal difference learning. Zbl 0772.68075
Tesauro, Gerald
31
1992
Optimal classification trees. Zbl 1455.68159
Bertsimas, Dimitris; Dunn, Jack
31
2017
An algorithmic theory of learning: Robust concepts and random projection. Zbl 1095.68092
Arriaga, Rosa I.; Vempala, Santosh
31
2006
Factorial hidden Markov models. Zbl 0892.68080
Ghahramani, Zoubin; Jordan, Michael I.
30
1997
The max-min hill-climbing Bayesian network structure learning algorithm. Zbl 1470.68192
Tsamardinos, Ioannis; Brown, Laura E.; Aliferis, Constantin F.
30
2006
Mixtures of factor analysers. Bayesian estimation and inference by stochastic simulation. Zbl 1033.68085
Fokoué, Ernest; Titterington, D. M.
30
2003
Not so naive Bayes: Aggregating one-dependence estimators. Zbl 1075.68078
Webb, Geoffrey I.; Boughton, Janice R.; Wang, Zhihai
29
2005
Tracking the best expert. Zbl 0912.68165
Herbster, Mark; Warmuth, Manfred K.
29
1998
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers. Zbl 0831.68087
Goldberg, Paul W.; Jerrum, Mark R.
29
1995
Convergence of a generalized SMO algorithm for SVM classifier design. Zbl 0998.68109
Keerthi, S. S.; Gilbert, E. G.
28
2002
On label dependence and loss minimization in multi-label classification. Zbl 1243.68237
Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei; Hüllermeier, Eyke
28
2012
Support vector machines for classification in nonstandard situations. Zbl 0998.68103
Lin, Yi; Lee, Yoonkyung; Wahba, Grace
27
2002
Logistic model trees. Zbl 1101.68767
Landwehr, Niels; Hall, Mark; Frank, Eibe
27
2005
Characteristic sets for polynomial grammatical inference. Zbl 0884.68107
de la Higuera, Colin
27
1997
Relative loss bounds for on-line density estimation with the exponential family of distributions. Zbl 0988.68173
Azoury, Katy S.; Warmuth, M. K.
26
2001
Nonparametric time series prediction through adaptive model selection. Zbl 0954.68124
Meir, Ron
25
2000
Tree induction for probability-based ranking. Zbl 1039.68105
Provost, Foster; Domingos, Pedro
25
2003
Some PAC-Bayesian theorems. Zbl 0945.68157
McAllester, David A.
24
1999
Kernel matching pursuit. Zbl 0998.68120
Vincent, Pascal; Bengio, Yoshua
24
2002
Using iterated bagging to debias regressions. Zbl 1052.68109
Breiman, Leo
24
2001
Kernel-based reinforcement learning. Zbl 1014.68069
Ormoneit, Dirk; Sen, Śaunak
24
2002
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
24
2011
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.
24
2014
Efficient read-restricted monotone CNF/DNF dualization by learning with membership queries. Zbl 0948.68097
Domingo, Carlos; Mishra, Nina; Pitt, Leonard
23
1999
Variable resolution discretization in optimal control. Zbl 1005.68086
Munos, Rémi; Moore, Andrew
23
2002
Optimal control as a graphical model inference problem. Zbl 1243.93133
Kappen, Hilbert J.; Gómez, Vicenç; Opper, Manfred
23
2012
The hierarchical hidden Markov model: Analysis and applications. Zbl 0901.68178
Fine, Shai; Singer, Yoram; Tishby, Naftali
22
1998
Empirical and theoretical comparisons of selected criterion functions for document clustering. Zbl 1089.68615
Zhao, Ying; Karypis, George
22
2004
Supersparse linear integer models for optimized medical scoring systems. Zbl 1406.62144
Ustun, Berk; Rudin, Cynthia
22
2016
External control in Markovian genetic regulatory networks. Zbl 1039.68161
Datta, Aniruddha; Choudhary, Ashish; Bittner, Michael L.; Dougherty, Edward R.
22
2003
The convergence of \(TD(\lambda)\) for general \(\lambda\). Zbl 0773.68060
Dayan, Peter
21
1992
Bayesian methods for support vector machines: Evidence and predictive class probabilities. Zbl 0998.68098
Sollich, Peter
21
2002
A simple decomposition method for support vector machines. Zbl 0998.68108
Hsu, Chih-Wei; Lin, Chih-Jen
21
2002
Near-optimal reinforcement learning in polynomial time. Zbl 1014.68071
Kearns, Michael; Singh, Satinder
21
2002
Gradient descent optimizes over-parameterized deep ReLU networks. Zbl 07205217
Zou, Difan; Cao, Yuan; Zhou, Dongruo; Gu, Quanquan
21
2020
Lower bound methods and separation results for on-line learning models. Zbl 0766.68113
Maass, Wolfgang; Turán, György
20
1992
Universal portfolios with and without transaction costs. Zbl 1083.91509
Blum, Avrim; Kalai, Adam
20
1999
Adaptive versus nonadaptive attribute-efficient learning. Zbl 0965.68029
Damaschke, Peter
20
2000
Relational reinforcement learning. Zbl 0988.68088
Džeroski, Sašo; De Raedt, Luc; Driessens, Kurt
20
2001
Boosting Poisson regression models with telematics car driving data. Zbl 07510312
Gao, Guangyuan; Wang, He; Wüthrich, Mario V.
2
2022
SAMBA: safe model-based & active reinforcement learning. Zbl 07510310
Cowen-Rivers, Alexander I.; Palenicek, Daniel; Moens, Vincent; Abdullah, Mohammed Amin; Sootla, Aivar; Wang, Jun; Bou-Ammar, Haitham
1
2022
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods. Zbl 07432810
Hüllermeier, Eyke; Waegeman, Willem
5
2021
The voice of optimization. Zbl 07432802
Bertsimas, Dimitris; Stellato, Bartolomeo
3
2021
Regularisation of neural networks by enforcing Lipschitz continuity. Zbl 07432806
Gouk, Henry; Frank, Eibe; Pfahringer, Bernhard; Cree, Michael J.
2
2021
Global optimization based on active preference learning with radial basis functions. Zbl 07432807
Bemporad, Alberto; Piga, Dario
2
2021
Beneficial and harmful explanatory machine learning. Zbl 07432818
Ai, Lun; Muggleton, Stephen H.; Hocquette, Céline; Gromowski, Mark; Schmid, Ute
2
2021
Tensor Q-rank: new data dependent definition of tensor rank. Zbl 07465658
Kong, Hao; Lu, Canyi; Lin, Zhouchen
2
2021
LoRAS: an oversampling approach for imbalanced datasets. Zbl 07432803
Bej, Saptarshi; Davtyan, Narek; Wolfien, Markus; Nassar, Mariam; Wolkenhauer, Olaf
1
2021
Concentration bounds for temporal difference learning with linear function approximation: the case of batch data and uniform sampling. Zbl 07432813
Prashanth, L. A.; Korda, Nathaniel; Munos, Rémi
1
2021
Probabilistic inductive constraint logic. Zbl 07432819
Riguzzi, Fabrizio; Bellodi, Elena; Zese, Riccardo; Alberti, Marco; Lamma, Evelina
1
2021
Top program construction and reduction for polynomial time meta-interpretive learning. Zbl 07432820
Patsantzis, S.; Muggleton, S. H.
1
2021
Learning programs by learning from failures. Zbl 07432822
Cropper, Andrew; Morel, Rolf
1
2021
Bayesian optimization with approximate set kernels. Zbl 07432823
Kim, Jungtaek; McCourt, Michael; You, Tackgeun; Kim, Saehoon; Choi, Seungjin
1
2021
Convex programming based spectral clustering. Zbl 07432826
Mizutani, Tomohiko
1
2021
Adaptive covariate acquisition for minimizing total cost of classification. Zbl 07432830
Andrade, Daniel; Okajima, Yuzuru
1
2021
Toward optimal probabilistic active learning using a Bayesian approach. Zbl 1491.68161
Kottke, Daniel; Herde, Marek; Sandrock, Christoph; Huseljic, Denis; Krempl, Georg; Sick, Bernhard
1
2021
Incorporating symbolic domain knowledge into graph neural networks. Zbl 07465651
Dash, Tirtharaj; Srinivasan, Ashwin; Vig, Lovekesh
1
2021
Beyond graph neural networks with lifted relational neural networks. Zbl 07465653
Šourek, Gustav; Železný, Filip; Kuželka, Ondřej
1
2021
A deep reinforcement learning framework for continuous intraday market bidding. Zbl 07465675
Boukas, Ioannis; Ernst, Damien; Théate, Thibaut; Bolland, Adrien; Huynen, Alexandre; Buchwald, Martin; Wynants, Christelle; Cornélusse, Bertrand
1
2021
Challenges of real-world reinforcement learning: definitions, benchmarks and analysis. Zbl 07465677
Dulac-Arnold, Gabriel; Levine, Nir; Mankowitz, Daniel J.; Li, Jerry; Paduraru, Cosmin; Gowal, Sven; Hester, Todd
1
2021
Sparse classification: a scalable discrete optimization perspective. Zbl 07465779
Bertsimas, Dimitris; Pauphilet, Jean; Van Parys, Bart
1
2021
Gradient descent optimizes over-parameterized deep ReLU networks. Zbl 07205217
Zou, Difan; Cao, Yuan; Zhou, Dongruo; Gu, Quanquan
21
2020
Learning from positive and unlabeled data: a survey. Zbl 07224983
Bekker, Jessa; Davis, Jesse
6
2020
A survey on semi-supervised learning. Zbl 1441.68215
van Engelen, Jesper E.; Hoos, Holger H.
4
2020
Evaluating time series forecasting models: an empirical study on performance estimation methods. Zbl 07289218
Cerqueira, Vitor; Torgo, Luis; Mozetič, Igor
4
2020
Combining Bayesian optimization and Lipschitz optimization. Zbl 1446.90129
Ahmed, Mohamed Osama; Vaswani, Sharan; Schmidt, Mark
3
2020
Learning higher-order logic programs. Zbl 07255749
Cropper, Andrew; Morel, Rolf; Muggleton, Stephen
3
2020
Inductive general game playing. Zbl 07255752
Cropper, Andrew; Evans, Richard; Law, Mark
3
2020
Robust classification via MOM minimization. Zbl 07255760
Lecué, Guillaume; Lerasle, Matthieu; Mathieu, Timlothée
3
2020
Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach. Zbl 1442.68209
Ye, Han-Jia; Sheng, Xiang-Rong; Zhan, De-Chuan
2
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.
2
2020
On cognitive preferences and the plausibility of rule-based models. Zbl 07224986
Fürnkranz, Johannes; Kliegr, Tomáš; Paulheim, Heiko
2
2020
Logical reduction of metarules. Zbl 07255750
Cropper, Andrew; Tourret, Sophie
2
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.
2
2020
Imbalanced regression and extreme value prediction. Zbl 07289239
Ribeiro, Rita P.; Moniz, Nuno
2
2020
Handling concept drift via model reuse. Zbl 07205220
Zhao, Peng; Cai, Le-Wen; Zhou, Zhi-Hua
1
2020
Provable accelerated gradient method for nonconvex low rank optimization. Zbl 1446.90138
Li, Huan; Lin, Zhouchen
1
2020
Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier. Zbl 07224991
Halbersberg, Dan; Wienreb, Maydan; Lerner, Boaz
1
2020
Feature ranking for multi-target regression. Zbl 1472.68154
Petković, Matej; Kocev, Dragi; Džeroski, Sašo
1
2020
Exploiting causality in gene network reconstruction based on graph embedding. Zbl 07224999
Pio, Gianvito; Ceci, Michelangelo; Prisciandaro, Francesca; Malerba, Donato
1
2020
Propositionalization and embeddings: two sides of the same coin. Zbl 07255754
Lavrač, Nada; Škrlj, Blaž; Robnik-Šikonja, Marko
1
2020
Classification with costly features as a sequential decision-making problem. Zbl 07255758
Janisch, Jaromír; Pevný, Tomáš; Lisý, Viliam
1
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Bonsai: diverse and shallow trees for extreme multi-label classification. Zbl 07289221
Khandagale, Sujay; Xiao, Han; Babbar, Rohit
1
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Embedding-based silhouette community detection. Zbl 07289224
Škrlj, Blaž; Kralj, Jan; Lavrač, Nada
1
2020
Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Zbl 07289231
Jung, Jinhong; Sael, Lee
1
2020
Spanning attack: reinforce black-box attacks with unlabeled data. Zbl 07289232
Wang, Lu; Zhang, Huan; Yi, Jinfeng; Hsieh, Cho-Jui; Jiang, Yuan
1
2020
Learning representations from dendrograms. Zbl 07289238
Chehreghani, Morteza Haghir; Chehreghani, Mostafa Haghir
1
2020
Skew Gaussian processes for classification. Zbl 07289242
Benavoli, Alessio; Azzimonti, Dario; Piga, Dario
1
2020
Learning rates for kernel-based expectile regression. Zbl 1480.62067
Farooq, Muhammad; Steinwart, Ingo
8
2019
Learning efficient logic programs. Zbl 07073619
Cropper, Andrew; Muggleton, Stephen H.
7
2019
Lifted discriminative learning of probabilistic logic programs. Zbl 07073621
Nguembang Fadja, Arnaud; Riguzzi, Fabrizio
4
2019
Nonparametric predictive distributions based on conformal prediction. Zbl 1482.68209
Vovk, Vladimir; Shen, Jieli; Manokhin, Valery; Xie, Min-ge
3
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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
3
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Modeling outcomes of soccer matches. Zbl 1480.62049
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2
2019
A greedy feature selection algorithm for big data of high dimensionality. Zbl 1483.68351
Tsamardinos, Ioannis; Borboudakis, Giorgos; Katsogridakis, Pavlos; Pratikakis, Polyvios; Christophides, Vassilis
2
2019
Visualizing and understanding sum-product networks. Zbl 1482.68208
Vergari, Antonio; Di Mauro, Nicola; Esposito, Floriana
2
2019
\(N\)-ary decomposition for multi-class classification. Zbl 07073608
Zhou, Joey Tianyi; Tsang, Ivor W.; Ho, Shen-Shyang; Müller, Klaus-Robert
2
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Semi-supervised online structure learning for composite event recognition. Zbl 07073620
Michelioudakis, Evangelos; Artikis, Alexander; Paliouras, Georgios
2
2019
A Riemannian gossip approach to subspace learning on Grassmann manifold. Zbl 07097461
Mishra, Bamdev; Kasai, Hiroyuki; Jawanpuria, Pratik; Saroop, Atul
2
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Efficient feature selection using shrinkage estimators. Zbl 1472.68156
Sechidis, Konstantinos; Azzimonti, Laura; Pocock, Adam; Corani, Giorgio; Weatherall, James; Brown, Gavin
2
2019
Data scarcity, robustness and extreme multi-label classification. Zbl 07097472
Babbar, Rohit; Schölkopf, Bernhard
2
2019
The teaching size: computable teachers and learners for universal languages. Zbl 07097485
Telle, Jan Arne; Hernández-Orallo, José; Ferri, Cèsar
2
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Distribution-free uncertainty quantification for kernel methods by gradient perturbations. Zbl 07097486
Csáji, Balázs Cs.; Kis, Krisztián B.
2
2019
Guest editorial: Special issue on machine learning for soccer. Zbl 1443.00015
1
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Rethinking statistical learning theory: learning using statistical invariants. Zbl 1480.62064
Vapnik, Vladimir; Izmailov, Rauf
1
2019
Continuation methods for approximate large scale object sequencing. Zbl 1485.90109
Evangelopoulos, Xenophon; Brockmeier, Austin J.; Mu, Tingting; Goulermas, John Y.
1
2019
Unsupervised feature selection based on kernel Fisher discriminant analysis and regression learning. Zbl 1482.68204
Shang, Ronghua; Meng, Yang; Liu, Chiyang; Jiao, Licheng; Esfahani, Amir M. Ghalamzan; Stolkin, Rustam
1
2019
Good arm identification via bandit feedback. Zbl 1491.68160
Kano, Hideaki; Honda, Junya; Sakamaki, Kentaro; Matsuura, Kentaro; Nakamura, Atsuyoshi; Sugiyama, Masashi
1
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An accelerated variance reducing stochastic method with Douglas-Rachford splitting. Zbl 07073610
Liu, Jingchang; Xu, Linli; Shen, Shuheng; Ling, Qing
1
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Arbitrage of forecasting experts. Zbl 07073612
Cerqueira, Vitor; Torgo, Luís; Pinto, Fábio; Soares, Carlos
1
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Constructing effective personalized policies using counterfactual inference from biased data sets with many features. Zbl 07073613
Atan, Onur; Zame, William R.; Feng, Qiaojun; van der Schaar, Mihaela
1
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Accelerated gradient boosting. Zbl 07073614
Biau, G.; Cadre, B.; Rouvière, L.
1
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Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion. Zbl 07073615
Yan, He; Ye, Qiao-Lin; Yu, Dong-Jun
1
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Probabilistic and exact frequent subtree mining in graphs beyond forests. Zbl 07073622
Welke, Pascal; Horváth, Tamás; Wrobel, Stefan
1
2019
Dynamic principal projection for cost-sensitive online multi-label classification. Zbl 07097467
Chu, Hong-Min; Huang, Kuan-Hao; Lin, Hsuan-Tien
1
2019
Temporal pattern attention for multivariate time series forecasting. Zbl 07097476
Shih, Shun-Yao; Sun, Fan-Keng; Lee, Hung-yi
1
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Compatible natural gradient policy search. Zbl 07097477
Pajarinen, Joni; Thai, Hong Linh; Akrour, Riad; Peters, Jan; Neumann, Gerhard
1
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Efficient learning with robust gradient descent. Zbl 1431.68108
Holland, Matthew J.; Ikeda, Kazushi
1
2019
On the analysis of adaptability in multi-source domain adaptation. Zbl 07097484
Redko, Ievgen; Habrard, Amaury; Sebban, Marc
1
2019
Asymptotically optimal algorithms for budgeted multiple play bandits. Zbl 1446.91032
Luedtke, Alex; Kaufmann, Emilie; Chambaz, Antoine
1
2019
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
10
2018
Analysis of classifiers’ robustness to adversarial perturbations. Zbl 1462.62383
Fawzi, Alhussein; Fawzi, Omar; Frossard, Pascal
10
2018
1-bit matrix completion: PAC-Bayesian analysis of a variational approximation. Zbl 1461.15032
Cottet, Vincent; Alquier, Pierre
7
2018
Wasserstein discriminant analysis. Zbl 1480.62125
Flamary, Rémi; Cuturi, Marco; Courty, Nicolas; Rakotomamonjy, Alain
6
2018
Instance spaces for machine learning classification. Zbl 1457.68235
Muñoz, Mario A.; Villanova, Laura; Baatar, Davaatseren; Smith-Miles, Kate
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
5
2018
Manifold-based synthetic oversampling with manifold conformance estimation. Zbl 1457.68227
Bellinger, Colin; Drummond, Christopher; Japkowicz, Nathalie
5
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
4
2018
ML-plan: automated machine learning via hierarchical planning. Zbl 1473.68157
Mohr, Felix; Wever, Marcel; Hüllermeier, Eyke
4
2018
Simple strategies for semi-supervised feature selection. Zbl 1457.68239
Sechidis, Konstantinos; Brown, Gavin
4
2018
Best-effort inductive logic programming via fine-grained cost-based hypothesis generation. The Inspire system at the inductive logic programming competition. Zbl 1443.68155
Schüller, Peter; Benz, Mishal
3
2018
Learning from binary labels with instance-dependent noise. Zbl 1475.68286
Menon, Aditya Krishna; van Rooyen, Brendan; Natarajan, Nagarajan
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
3
2018
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization. Zbl 1457.68242
Wistuba, Martin; Schilling, Nicolas; Schmidt-Thieme, Lars
3
2018
Improved maximum inner product search with better theoretical guarantee using randomized partition trees. Zbl 1461.68217
Keivani, Omid; Sinha, Kaushik; Ram, Parikshit
2
2018
Ensembles for multi-target regression with random output selections. Zbl 1475.68262
Breskvar, Martin; Kocev, Dragi; Džeroski, Sašo
2
2018
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation. Zbl 1486.62078
Tsamardinos, Ioannis; Greasidou, Elissavet; Borboudakis, Giorgos
2
2018
Robust Plackett-Luce model for \(k\)-ary crowdsourced preferences. Zbl 1466.91101
Han, Bo; Pan, Yuangang; Tsang, Ivor W.
2
2018
Learning safe multi-label prediction for weakly labeled data. Zbl 1457.68241
Wei, Tong; Guo, Lan-Zhe; Li, Yu-Feng; Gao, Wei
2
2018
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37 Sugiyama, Masashi
22 Kanamori, Takafumi
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21 De Raedt, Luc
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21 Le Thi, Hoai An
20 Powell, Warren Buckler
18 Alquier, Pierre
18 Hullermeier, Eyke
18 Liu, Yufeng
17 Bertsimas, Dimitris John
16 Long, Philip M.
15 Corander, Jukka
15 Greco, Salvatore
15 Kadziński, Miłosz
15 Pham Dinh Tao
15 Riguzzi, Fabrizio
15 Suykens, Johan A. K.
14 Bshouty, Nader H.
14 Kel’manov, Aleksandr Vasil’evich
14 Khandeev, Vladimir Il’ich
14 Muggleton, Stephen H.
14 Waegeman, Willem
14 Wang, Shitong
14 Webb, Geoffrey I.
14 Zhou, Zhihua
13 Corani, Giorgio
13 Corrente, Salvatore
13 De Baets, Bernard
13 Hothorn, Torsten
13 Inoue, Katsumi
13 Mohri, Mehryar
13 Peters, Jan
13 Rudin, Cynthia
13 Słowiński, Roman
13 Suzuki, Taiji
13 Zhou, Dingxuan
12 Bartlett, Peter L.
12 Bielza, Concha
12 Bouguila, Nizar
12 Chung, Fu-Lai
12 Larocque, Denis
12 Niedermeier, Rolf
12 Pardalos, Panos M.
12 Shao, Yuanhai
12 Zaffalon, Marco
11 Hand, David J.
11 Ishwaran, Hemant
11 Lugosi, Gábor
11 Mansour, Yishay
11 Servedio, Rocco A.
11 Steinwart, Ingo
11 Takeda, Akiko
11 Tian, Yingjie
11 Xu, Dachuan
11 Zhang, Chunxia
10 Boulesteix, Anne-Laure Isabeau
10 Cesa-Bianchi, Nicolò
10 Deng, Naiyang
10 Džeroski, Sašo
10 Fürnkranz, Johannes
10 Grünwald, Peter D.
10 Hu, Qinghua
10 Li, Bin
10 Lin, Chih-Jen
10 Lu, Wenbin
10 Makino, Kazuhisa
10 Mhaskar, Hrushikesh N.
10 Munos, Rémi
10 Pyatkin, Artëm Valer’evich
10 Romero Morales, Dolores
10 Song, Rui
10 Srinivasan, Ashwin
10 Stoltz, Gilles
10 Ting, Kai Ming
10 Tutz, Gerhard E.
10 Yang, Yuhong
10 Yoshinaka, Ryo
9 Balcázar, José Luis
9 Blanquero, Rafael
9 Blei, David M.
9 Borkar, Vivek Shripad
9 de Campos, Cassio Polpo
9 Guo, Jiong
9 Husmeier, Dirk
9 Ishii, Shin
9 Komusiewicz, Christian
9 Lausen, Berthold
9 Liang, Faming
9 Nielsen, Thomas D.
9 Pedrycz, Witold
9 Puerta, Jose Miguel
9 Smith-Miles, Kate A.
9 Turán, Gyorgy
9 Wager, Stefan
9 Warmuth, Manfred K.
9 Yeung, Dit-Yan
9 Zhang, Jiangshe
9 Zopounidis, Constantin
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374 Pattern Recognition
247 Computational Statistics and Data Analysis
218 Information Sciences
206 European Journal of Operational Research
188 Neural Computation
165 International Journal of Approximate Reasoning
159 Data Mining and Knowledge Discovery
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23 Bernoulli
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19 Computer Methods in Applied Mechanics and Engineering
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13 Analysis and Applications (Singapore)
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