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Machine Learning

Short Title: Mach. Learn.
Publisher: Springer US, New York, NY
ISSN: 0885-6125; 1573-0565/e
Online: https://link.springer.com/journal/10994/volumes-and-issues
Comments: Journal; Indexed cover-to-cover
Documents Indexed: 1,686 Publications (since 1988)
References Indexed: 1,237 Publications with 54,180 References.
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Authors

24 Sugiyama, Masashi
22 Muggleton, Stephen H.
19 Hullermeier, Eyke
17 De Raedt, Luc
16 Džeroski, Sašo
15 Webb, Geoffrey I.
13 Srinivasan, Ashwin
12 Inoue, Katsumi
11 Bertsimas, Dimitris John
11 Flach, Peter A.
11 Warmuth, Manfred K.
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 Fürnkranz, Johannes
9 Gama, João
9 Jin, Rong
9 Ramon, Jan
9 Ting, Kai Ming
8 Cropper, Andrew
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 Kersting, Kristian
7 Lin, Hsuan-Tien
7 Lugosi, Gábor
7 Morik, Katharina
7 Provost, Foster
7 Suykens, Johan A. K.
7 Szepesvári, Csaba
7 Tamaddoni-Nezhad, Alireza
7 Tsang, Ivor Wai-Hung
7 Wrobel, Stefan
7 Yang, Tianbao
7 Zhu, Shenghuo
6 Angluin, Dana
6 Bengio, Yoshua
6 Breiman, Leo
6 Chehreghani, Morteza Haghir
6 Cohen, William W.
6 Crammer, Koby
6 Davis, Jesse
6 Domingos, Pedro
6 Getoor, Lise
6 Holmes, Geoffrey
6 Horváth, Tamás L.
6 Landwehr, Niels
6 Tishby, Naftali
6 Vapnik, Vladimir Naumovich
6 Železný, Filip
5 Auer, Peter
5 Benavoli, Alessio
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 Dou, Dejing
5 Frasconi, Paolo
5 Gallinari, Patrick
5 Hernández-Orallo, Jose
5 Hoi, Steven C. H.
5 Kimmig, Angelika
5 Kocev, Dragi
5 Kramer, Stefan
5 Malerba, Donato
5 Munos, Rémi
5 Natarajan, Sriraam
5 Pahikkala, Tapio
5 Peters, Jan
5 Pfahringer, Bernhard
5 Sammut, Claude
5 Scheffer, Tobias
5 Sebag, Michèle
5 Sebban, Marc
5 Tadepalli, Prasad
5 Thrun, Sebastian
5 Tsitsiklis, John N.
5 van Rijn, Jan N.
5 Vanschoren, Joaquin
5 Vovk, Vladimir G.
5 Washio, Takashi
5 Weston, Jason
5 Xiong, Haoyi
5 Zaverucha, Gerson
5 Zhang, Lijun
...and 3,227 more Authors

Publications by Year

Citations contained in zbMATH Open

1,061 Publications have been cited 14,573 times in 9,798 Documents Cited by Year
Random forests. Zbl 1007.68152
Breiman, Leo
2001
Support-vector networks. Zbl 0831.68098
Cortes, Corinna; Vapnik, Vladimir
922
1995
Bagging predictors. Zbl 0858.68080
Breiman, Leo
732
1996
\({\mathcal Q}\)-learning. Zbl 0773.68062
Watkins, Christopher J. C. H.; Dayan, Peter
300
1992
Learning Bayesian networks: The combination of knowledge and statistical data. Zbl 0831.68096
Heckerman, David; Geiger, Dan; Chickering, David M.
251
1995
Gene selection for cancer classification using support vector machines. Zbl 0998.68111
Guyon, Isabelle; Weston, Jason; Barnhill, Stephen; Vapnik, Vladimir
238
2002
Finite-time analysis of the multiarmed bandit problem. Zbl 1012.68093
Auer, Peter; Cesa-Bianchi, Nicolò; Fischer, Paul
237
2002
An introduction to variational methods for graphical models. Zbl 0945.68164
Jordan, I. Michael; Ghahramani, Zoubin; Jaakkola, Tommi S.; Saul, Lawrence K.
228
1999
Queries and concept learning. Zbl 1470.68050
Angluin, Dana
209
1988
A Bayesian method for the induction of probabilistic networks from data. Zbl 0766.68109
Cooper, Gregory F.; Herskovits, Edward
186
1992
Correlation clustering. Zbl 1089.68085
Bansal, Nikhil; Blum, Avrim; Chawla, Shuchi
181
2004
Bayesian network classifiers. Zbl 0892.68077
Friedman, Nir; Geiger, Dan; Goldszmidt, Moises
169
1997
NP-hardness of Euclidean sum-of-squares clustering. Zbl 1378.68047
Aloise, Daniel; Deshpande, Amit; Hansen, Pierre; Popat, Preyas
142
2009
An introduction to MCMC for machine learning. Zbl 1033.68081
Andrieu, Christophe; de Freitas, Nando; Doucet, Arnaud; Jordan, Michael I.
136
2003
Choosing multiple parameters for support vector machines. Zbl 0998.68101
Chapelle, Olivier; Vapnik, Vladimir; Bousquet, Olivier; Mukherjee, Sayan
133
2002
Markov logic networks. Zbl 1470.68221
Richardson, Matthew; Domingos, Pedro
133
2006
Improved boosting algorithms using confidence-rated predictions. Zbl 0945.68194
Schapire, Robert E.; Singer, Yoram
127
1999
Simple statistical gradient-following algorithms for connectionist reinforcement learning. Zbl 0772.68076
Williams, Ronald J.
125
1992
On the optimality of the simple Bayesian classifier under zero-one loss. Zbl 0892.68076
Domingos, Pedro; Pazzani, Michael
105
1997
Convex multi-task feature learning. Zbl 1470.68073
Argyriou, Andreas; Evgeniou, Theodoros; Pontil, Massimiliano
105
2008
The max-min hill-climbing Bayesian network structure learning algorithm. Zbl 1470.68192
Tsamardinos, Ioannis; Brown, Laura E.; Aliferis, Constantin F.
98
2006
Soft margins for AdaBoost. Zbl 0969.68128
Rätsch, G.; Onoda, T.; Müller, K.-R.
94
2001
Semi-supervised learning on Riemannian manifolds. Zbl 1089.68086
Belkin, Mikhail; Niyogi, Partha
84
2004
Approximation and estimation bounds for artificial neural networks. Zbl 0818.68127
Barron, Andrew R.
83
1994
Text classification from labeled and unlabeled documents using EM. Zbl 0949.68162
Nigam, Kamal; McCallum, Andrew Kachites; Thrun, Sebastian; Mitchell, Tom
80
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.
77
2001
BoosTexter: A boosting-based system for text categorization. Zbl 0951.68561
Schapire, Robert E.; Singer, Yoram
75
2000
Multicategory proximal support vector machine classifiers. Zbl 1101.68758
Fung, Glenn M.; Mangasarian, O. L.
75
2005
Very simple classification rules perform well on most commonly used datasets. Zbl 0850.68278
Holte, Robert C.
74
1993
Stacked regressions. Zbl 0849.68104
Breiman, Leo
72
1996
Support vector data description. Zbl 1078.68728
Tax, David M. J.; Duin, Robert P. W.
71
2004
Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Zbl 1027.68113
Kuncheva, Ludmila I.; Whitaker, Christopher J.
68
2003
Extremely randomized trees. Zbl 1110.68124
Geurts, Pierre; Ernst, Damien; Wehenkel, Louis
68
2006
Toward efficient agnostic learning. Zbl 0938.68797
Kearns, Michael J.; Schapire, Robert E.; Sellie, Linda M.
66
1994
Asynchronous stochastic approximation and Q-learning. Zbl 0820.68105
Tsitsiklis, John N.
66
1994
Concept decompositions for large sparse text data using clustering. Zbl 0970.68167
Dhillon, Inderjit S.; Modha, Dharmendra S.
65
2001
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
65
2000
Theoretical and empirical analysis of ReliefF and RReliefF. Zbl 1076.68065
Robnik-Šikonja, Marko; Kononenko, Igor
63
2003
Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks. Zbl 1033.68104
Friedman, Nir; Koller, Daphne
62
2003
Clustering large graphs via the singular value decomposition. Zbl 1089.68090
Drineas, P.; Frieze, A.; Kannan, R.; Vempala, S.; Vinay, V.
59
2004
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
59
2003
Model selection and error estimation. Zbl 0998.68117
Bartlett, Peter L.; Boucheron, Stéphane; Lugosi, Gábor
58
2002
Robust classification for imprecise environments. Zbl 0969.68126
Provost, Foster; Fawcett, Tom
57
2001
Large margin classification using the perceptron algorithm. Zbl 0944.68535
Freund, Yoav; Schapire, Robert E.
56
1999
Unsupervised learning by probabilistic latent semantic analysis. Zbl 0970.68130
Hofmann, Thomas
55
2001
Optimal classification trees. Zbl 1455.68159
Bertsimas, Dimitris; Dunn, Jack
53
2017
Learning conjunctions of Horn clauses. Zbl 0766.68107
Angluin, Dana; Frazier, Michael; Pitt, Leonard
52
1992
Learning from different teachers. Zbl 1027.68106
Angluin, Dana; Kriķis, Mārtiņš
51
2003
Reduction techniques for instance-based learning algorithms. Zbl 0954.68126
Wilson, D. Randall; Martinez, Tony R.
49
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
49
2004
Measuring classifier performance: a coherent alternative to the area under the ROC curve. Zbl 1470.62085
Hand, David J.
47
2009
Robust ordinal regression in preference learning and ranking. Zbl 1300.68040
Corrente, Salvatore; Greco, Salvatore; Kadziński, Miłosz; Słowiński, Roman
46
2013
Inference for the generalization error. Zbl 1039.68104
Nadeau, Claude; Bengio, Yoshua
45
2003
Logarithmic regret algorithms for online convex optimization. Zbl 1471.68327
Hazan, Elad; Agarwal, Amit; Kale, Satyen
45
2007
On the learnability and design of output codes for multiclass problems. Zbl 1012.68155
Crammer, Koby; Singer, Yoram
44
2002
SPADE: An efficient algorithm for mining frequent sequences. Zbl 0970.68052
Zaki, Mohammed J.
43
2001
Generalized low rank approximations of matrices. Zbl 1087.65043
Ye, Jieping
43
2005
Combined SVM-based feature selection and classification. Zbl 1137.90643
Neumann, Julia; Schnörr, Christoph; Steidl, Gabriele
42
2005
Logistic regression, AdaBoost and Bregman distances. Zbl 0998.68123
Collins, Michael; Schapire, Robert E.; Singer, Yoram
41
2002
Training invariant support vector machines. Zbl 0998.68102
Decoste, Dennis; Schölkopf, Bernhard
41
2002
On the handling of continuous-valued attributes in decision tree generation. Zbl 0767.68084
Fayyad, Usama M.; Irani, Keki B.
40
1992
Cutting-plane training of structural SVMs. Zbl 1235.68161
Joachims, Thorsten; Finley, Thomas; Yu, Chun-Nam John
40
2009
Gradient descent optimizes over-parameterized deep ReLU networks. Zbl 1494.68245
Zou, Difan; Cao, Yuan; Zhou, Dongruo; Gu, Quanquan
40
2020
An algorithmic theory of learning: Robust concepts and random projection. Zbl 1095.68092
Arriaga, Rosa I.; Vempala, Santosh
39
2006
A theory of learning from different domains. Zbl 1470.68081
Ben-David, Shai; Blitzer, John; Crammer, Koby; Kulesza, Alex; Pereira, Fernando; Vaughan, Jennifer Wortman
38
2010
Linear programming boosting via column generation. Zbl 0998.68105
Demiriz, Ayhan; Bennett, Kristin P.; Shawe-Taylor, John
37
2002
Adaptive probabilistic networks with hidden variables. Zbl 0892.68079
Binder, John; Koller, Daphne; Russell, Stuart; Kanazawa, Keiji
37
1997
Selective sampling using the query by committee algorithm. Zbl 0881.68093
Freund, Yoav; Seung, H. Sebastian; Shamir, Eli; Tishby, Naftali
37
1997
Factorial hidden Markov models. Zbl 0892.68080
Ghahramani, Zoubin; Jordan, Michael I.
36
1997
Practical issues in temporal difference learning. Zbl 0772.68075
Tesauro, Gerald
36
1992
Convergence results for single-step on-policy reinforcement-learning algorithms. Zbl 0954.68127
Singh, Satinder; Jaakkola, Tommi; Littman, Michael L.; Szepesvári, Csaba
35
2000
Mixtures of factor analysers. Bayesian estimation and inference by stochastic simulation. Zbl 1033.68085
Fokoué, Ernest; Titterington, D. M.
34
2003
Not so naive Bayes: Aggregating one-dependence estimators. Zbl 1075.68078
Webb, Geoffrey I.; Boughton, Janice R.; Wang, Zhihai
33
2005
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers. Zbl 0831.68087
Goldberg, Paul W.; Jerrum, Mark R.
32
1995
On label dependence and loss minimization in multi-label classification. Zbl 1243.68237
Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei; Hüllermeier, Eyke
32
2012
Characteristic sets for polynomial grammatical inference. Zbl 0884.68107
de la Higuera, Colin
31
1997
Convergence of a generalized SMO algorithm for SVM classifier design. Zbl 0998.68109
Keerthi, S. S.; Gilbert, E. G.
31
2002
Relative loss bounds for on-line density estimation with the exponential family of distributions. Zbl 0988.68173
Azoury, Katy S.; Warmuth, M. K.
31
2001
Some PAC-Bayesian theorems. Zbl 0945.68157
McAllester, David A.
30
1999
Support vector machines for classification in nonstandard situations. Zbl 0998.68103
Lin, Yi; Lee, Yoonkyung; Wahba, Grace
30
2002
Tracking the best expert. Zbl 0912.68165
Herbster, Mark; Warmuth, Manfred K.
30
1998
Supersparse linear integer models for optimized medical scoring systems. Zbl 1406.62144
Ustun, Berk; Rudin, Cynthia
30
2016
The hierarchical hidden Markov model: Analysis and applications. Zbl 0901.68178
Fine, Shai; Singer, Yoram; Tishby, Naftali
29
1998
Logistic model trees. Zbl 1101.68767
Landwehr, Niels; Hall, Mark; Frank, Eibe
29
2005
Quantum speed-up for unsupervised learning. Zbl 1260.68319
Aïmeur, Esma; Brassard, Gilles; Gambs, Sébastien
29
2013
Learning monotone nonlinear models using the Choquet integral. Zbl 1260.68348
Tehrani, Ali Fallah; Cheng, Weiwei; Dembczyński, Krzysztof; Hüllermeier, Eyke
29
2012
Near-optimal reinforcement learning in polynomial time. Zbl 1014.68071
Kearns, Michael; Singh, Satinder
28
2002
Variable resolution discretization in optimal control. Zbl 1005.68086
Munos, Rémi; Moore, Andrew
28
2002
Tree induction for probability-based ranking. Zbl 1039.68105
Provost, Foster; Domingos, Pedro
28
2003
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.
28
2014
Multilabel classification via calibrated label ranking. Zbl 1470.68108
Fürnkranz, Johannes; Hüllermeier, Eyke; Loza Mencía, Eneldo; Brinker, Klaus
28
2008
Using iterated bagging to debias regressions. Zbl 1052.68109
Breiman, Leo
27
2001
Optimal control as a graphical model inference problem. Zbl 1243.93133
Kappen, Hilbert J.; Gómez, Vicenç; Opper, Manfred
27
2012
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
27
2011
Nonparametric time series prediction through adaptive model selection. Zbl 0954.68124
Meir, Ron
26
2000
Kernel matching pursuit. Zbl 0998.68120
Vincent, Pascal; Bengio, Yoshua
26
2002
External control in Markovian genetic regulatory networks. Zbl 1039.68161
Datta, Aniruddha; Choudhary, Ashish; Bittner, Michael L.; Dougherty, Edward R.
26
2003
RE-EM trees: a data mining approach for longitudinal and clustered data. Zbl 1238.68131
Sela, Rebecca J.; Simonoff, Jeffrey S.
26
2012
Time varying undirected graphs. Zbl 1475.62174
Zhou, Shuheng; Lafferty, John; Wasserman, Larry
26
2010
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning. Zbl 1331.68189
Lin, Zhouchen; Liu, Risheng; Li, Huan
26
2015
Online learning of network bottlenecks via minimax paths. Zbl 07694481
Åkerblom, Niklas; Hoseini, Fazeleh Sadat; Haghir Chehreghani, Morteza
1
2023
Limits of multi-relational graphs. Zbl 07694483
Alvarado, Juan; Wang, Yuyi; Ramon, Jan
1
2023
Byzantine-robust distributed sparse learning for \(M\)-estimation. Zbl 07753625
Tu, Jiyuan; Liu, Weidong; Mao, Xiaojun
1
2023
Explicit explore, exploit, or escape \((E^4)\): near-optimal safety-constrained reinforcement learning in polynomial time. Zbl 07702687
Bossens, David M.; Bishop, Nicholas
1
2023
Cross-model consensus of explanations and beyond for image classification models: an empirical study. Zbl 07702715
Li, Xuhong; Xiong, Haoyi; Huang, Siyu; Ji, Shilei; Dou, Dejing
1
2023
Learning system parameters from Turing patterns. Zbl 1518.68319
Schnörr, David; Schnörr, Christoph
1
2023
Considerations when learning additive explanations for black-box models. Zbl 1518.68323
Tan, Sarah; Hooker, Giles; Koch, Paul; Gordo, Albert; Caruana, Rich
1
2023
Boosting Poisson regression models with telematics car driving data. Zbl 07510312
Gao, Guangyuan; Wang, He; Wüthrich, Mario V.
4
2022
Lifting symmetry breaking constraints with inductive logic programming. Zbl 07570129
Tarzariol, Alice; Gebser, Martin; Schekotihin, Konstantin
3
2022
Inductive logic programming at 30. Zbl 07510309
Cropper, Andrew; Dumančić, Sebastijan; Evans, Richard; Muggleton, Stephen H.
3
2022
Large-scale pinball twin support vector machines. Zbl 07624280
Tanveer, M.; Tiwari, A.; Choudhary, R.; Ganaie, M. A.
2
2022
Stronger data poisoning attacks break data sanitization defenses. Zbl 07510305
Koh, Pang Wei; Steinhardt, Jacob; Liang, Percy
2
2022
Quick and robust feature selection: the strength of energy-efficient sparse training for autoencoders. Zbl 07510316
Atashgahi, Zahra; Sokar, Ghada; van der Lee, Tim; Mocanu, Elena; Mocanu, Decebal Constantin; Veldhuis, Raymond; Pechenizkiy, Mykola
2
2022
Nested aggregation of experts using inducing points for approximated Gaussian process regression. Zbl 07570140
Nakai-Kasai, Ayano; Tanaka, Toshiyuki
1
2022
Randomized approximate class-specific kernel spectral regression analysis for large-scale face verification. Zbl 07570152
Li, Ke; Wu, Gang
1
2022
Receiver operating characteristic (ROC) curves: equivalences, beta model, and minimum distance estimation. Zbl 07570154
Gneiting, Tilmann; Vogel, Peter
1
2022
The backbone method for ultra-high dimensional sparse machine learning. Zbl 07570155
Bertsimas, Dimitris; Digalakis, Vassilis jun.
1
2022
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations. Zbl 07570161
Ayed, Ibrahim; de Bézenac, Emmanuel; Pajot, Arthur; Gallinari, Patrick
1
2022
Hierarchical optimal transport for unsupervised domain adaptation. Zbl 07694461
El Hamri, Mourad; Bennani, Younès; Falih, Issam
1
2022
Variance reduction on general adaptive stochastic mirror descent. Zbl 07694475
Li, Wenjie; Wang, Zhanyu; Zhang, Yichen; Cheng, Guang
1
2022
Dual-domain graph convolutional networks for skeleton-based action recognition. Zbl 07624243
Chen, Shuo; Xu, Ke; Mi, Zhongjie; Jiang, Xinghao; Sun, Tanfeng
1
2022
ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams. Zbl 07624249
Cano, Alberto; Krawczyk, Bartosz
1
2022
Semi-supervised semantic segmentation in Earth observation: the MiniFrance suite, dataset analysis and multi-task network study. Zbl 07624267
Castillo-Navarro, Javiera; Le Saux, Bertrand; Boulch, Alexandre; Audebert, Nicolas; Lefèvre, Sébastien
1
2022
Stateless neural meta-learning using second-order gradients. Zbl 1524.68281
Huisman, Mike; Plaat, Aske; van Rijn, Jan N.
1
2022
An adaptive Polyak heavy-ball method. Zbl 1525.68125
Saab, Samer jun.; Phoha, Shashi; Zhu, Minghui; Ray, Asok
1
2022
Recursive tree grammar autoencoders. Zbl 07624276
Paaßen, Benjamin; Koprinska, Irena; Yacef, Kalina
1
2022
Learning any memory-less discrete semantics for dynamical systems represented by logic programs. Zbl 07624282
Ribeiro, Tony; Folschette, Maxime; Magnin, Morgan; Inoue, Katsumi
1
2022
Embed2detect: temporally clustered embedded words for event detection in social media. Zbl 07510306
Hettiarachchi, Hansi; Adedoyin-Olowe, Mariam; Bhogal, Jagdev; Gaber, Mohamed Medhat
1
2022
Learning from interpretation transition using differentiable logic programming semantics. Zbl 07510308
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1
2022
SAMBA: safe model-based & active reinforcement learning. Zbl 07510310
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1
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A review on instance ranking problems in statistical learning. Zbl 07510317
Werner, Tino
1
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Multiway \(p\)-spectral graph cuts on Grassmann manifolds. Zbl 07510328
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1
2022
Online strongly convex optimization with unknown delays. Zbl 1491.68272
Wan, Yuanyu; Tu, Wei-Wei; Zhang, Lijun
1
2022
Regularisation of neural networks by enforcing Lipschitz continuity. Zbl 07432806
Gouk, Henry; Frank, Eibe; Pfahringer, Bernhard; Cree, Michael J.
15
2021
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods. Zbl 07432810
Hüllermeier, Eyke; Waegeman, Willem
15
2021
The voice of optimization. Zbl 07432802
Bertsimas, Dimitris; Stellato, Bartolomeo
7
2021
Learning programs by learning from failures. Zbl 07432822
Cropper, Andrew; Morel, Rolf
7
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
6
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Tensor Q-rank: new data dependent definition of tensor rank. Zbl 07465658
Kong, Hao; Lu, Canyi; Lin, Zhouchen
5
2021
Sparse classification: a scalable discrete optimization perspective. Zbl 07465779
Bertsimas, Dimitris; Pauphilet, Jean; Van Parys, Bart
5
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Interpretable clustering: an optimization approach. Zbl 07432799
Bertsimas, Dimitris; Orfanoudaki, Agni; Wiberg, Holly
3
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Global optimization based on active preference learning with radial basis functions. Zbl 07432807
Bemporad, Alberto; Piga, Dario
3
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Beneficial and harmful explanatory machine learning. Zbl 07432818
Ai, Lun; Muggleton, Stephen H.; Hocquette, Céline; Gromowski, Mark; Schmid, Ute
3
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Toward optimal probabilistic active learning using a Bayesian approach. Zbl 1491.68161
Kottke, Daniel; Herde, Marek; Sandrock, Christoph; Huseljic, Denis; Krempl, Georg; Sick, Bernhard
3
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Conditional variance penalties and domain shift robustness. Zbl 07432804
Heinze-Deml, Christina; Meinshausen, Nicolai
2
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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
2
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Probabilistic inductive constraint logic. Zbl 07432819
Riguzzi, Fabrizio; Bellodi, Elena; Zese, Riccardo; Alberti, Marco; Lamma, Evelina
2
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Top program construction and reduction for polynomial time meta-interpretive learning. Zbl 07432820
Patsantzis, S.; Muggleton, S. H.
2
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Bayesian optimization with approximate set kernels. Zbl 07432823
Kim, Jungtaek; McCourt, Michael; You, Tackgeun; Kim, Saehoon; Choi, Seungjin
2
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Graph-based semi-supervised learning via improving the quality of the graph dynamically. Zbl 07432838
Liang, Jiye; Cui, Junbiao; Wang, Jie; Wei, Wei
2
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Sampled Gromov Wasserstein. Zbl 07465668
Kerdoncuff, Tanguy; Emonet, Rémi; Sebban, Marc
2
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A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with skew Gaussian processes. Zbl 07465776
Benavoli, Alessio; Azzimonti, Dario; Piga, Dario
2
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How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Zbl 07432796
van der Schaar, Mihaela; Alaa, Ahmed M.; Floto, Andres; Gimson, Alexander; Scholtes, Stefan; Wood, Angela; McKinney, Eoin; Jarrett, Daniel; Lio, Pietro; Ercole, Ari
1
2021
Node classification over bipartite graphs through projection. Zbl 07432798
Stankova, Marija; Praet, Stiene; Martens, David; Provost, Foster
1
2021
LoRAS: an oversampling approach for imbalanced datasets. Zbl 07432803
Bej, Saptarshi; Davtyan, Narek; Wolfien, Markus; Nassar, Mariam; Wolkenhauer, Olaf
1
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Coupling matrix manifolds assisted optimization for optimal transport problems. Zbl 07432812
Shi, Dai; Gao, Junbin; Hong, Xia; Boris Choy, S. T.; Wang, Zhiyong
1
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An extended DEIM algorithm for subset selection and class identification. Zbl 07432815
Hendryx, Emily P.; Rivière, Béatrice M.; Rusin, Craig G.
1
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Protect privacy of deep classification networks by exploiting their generative power. Zbl 07432816
Chen, Jiyu; Guo, Yiwen; Zheng, Qianjun; Chen, Hao
1
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SPEED: secure, private, and efficient deep learning. Zbl 1489.68090
Grivet Sébert, Arnaud; Pinot, Rafaël; Zuber, Martin; Gouy-Pailler, Cédric; Sirdey, Renaud
1
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AUTOMAT[R]IX: learning simple matrix pipelines. Zbl 07432821
Contreras-Ochando, Lidia; Ferri, Cèsar; Hernández-Orallo, José
1
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Quick-means: accelerating inference for K-means by learning fast transforms. Zbl 07432824
Giffon, Luc; Emiya, Valentin; Kadri, Hachem; Ralaivola, Liva
1
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Convex programming based spectral clustering. Zbl 07432826
Mizutani, Tomohiko
1
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Adaptive covariate acquisition for minimizing total cost of classification. Zbl 07432830
Andrade, Daniel; Okajima, Yuzuru
1
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Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives. Zbl 07432835
Hüyük, Alihan; Tekin, Cem
1
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Importance sampling in reinforcement learning with an estimated behavior policy. Zbl 07432836
Hanna, Josiah P.; Niekum, Scott; Stone, Peter
1
2021
Automated adaptation strategies for stream learning. Zbl 07432840
Bakirov, Rashid; Fay, Damien; Gabrys, Bogdan
1
2021
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels. Zbl 07465650
Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
1
2021
Incorporating symbolic domain knowledge into graph neural networks. Zbl 07465651
Dash, Tirtharaj; Srinivasan, Ashwin; Vig, Lovekesh
1
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Learning hierarchical probabilistic logic programs. Zbl 07465652
Nguembang Fadja, Arnaud; Riguzzi, Fabrizio; Lamma, Evelina
1
2021
Beyond graph neural networks with lifted relational neural networks. Zbl 1515.68279
Šourek, Gustav; Železný, Filip; Kuželka, Ondřej
1
2021
TRU-NET: a deep learning approach to high resolution prediction of rainfall. Zbl 07465663
Adewoyin, Rilwan A.; Dueben, Peter; Watson, Peter; He, Yulan; Dutta, Ritabrata
1
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Testing conditional independence in supervised learning algorithms. Zbl 07465666
Watson, David S.; Wright, Marvin N.
1
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Convex optimization with an interpolation-based projection and its application to deep learning. Zbl 07465672
Akrour, Riad; Atamna, Asma; Peters, Jan
1
2021
Inverse reinforcement learning in contextual MDPs. Zbl 07465674
Belogolovsky, Stav; Korsunsky, Philip; Mannor, Shie; Tessler, Chen; Zahavy, Tom
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
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems. Zbl 07465680
Likmeta, Amarildo; Metelli, Alberto Maria; Ramponi, Giorgia; Tirinzoni, Andrea; Giuliani, Matteo; Restelli, Marcello
1
2021
Tensor decision trees for continual learning from drifting data streams. Zbl 07465773
Krawczyk, Bartosz
1
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Deep learning and multivariate time series for cheat detection in video games. Zbl 07465774
Pinto, José Pedro; Pimenta, André; Novais, Paulo
1
2021
Conditional t-SNE: more informative t-SNE embeddings. Zbl 07465786
Kang, Bo; García García, Darío; Lijffijt, Jefrey; Santos-Rodríguez, Raúl; De Bie, Tijl
1
2021
Gradient descent optimizes over-parameterized deep ReLU networks. Zbl 1494.68245
Zou, Difan; Cao, Yuan; Zhou, Dongruo; Gu, Quanquan
40
2020
A survey on semi-supervised learning. Zbl 1441.68215
van Engelen, Jesper E.; Hoos, Holger H.
16
2020
Learning from positive and unlabeled data: a survey. Zbl 1496.68270
Bekker, Jessa; Davis, Jesse
9
2020
Robust classification via MOM minimization. Zbl 1522.68470
Lecué, Guillaume; Lerasle, Matthieu; Mathieu, Timlothée
7
2020
Inductive general game playing. Zbl 1518.68294
Cropper, Andrew; Evans, Richard; Law, Mark
5
2020
Skew Gaussian processes for classification. Zbl 1525.62025
Benavoli, Alessio; Azzimonti, Dario; Piga, Dario
4
2020
Kappa updated ensemble for drifting data stream mining. Zbl 1440.68203
Cano, Alberto; Krawczyk, Bartosz
4
2020
Learning higher-order logic programs. Zbl 1518.68037
Cropper, Andrew; Morel, Rolf; Muggleton, Stephen
3
2020
Logical reduction of metarules. Zbl 1518.68038
Cropper, Andrew; Tourret, Sophie
3
2020
Combining Bayesian optimization and Lipschitz optimization. Zbl 1446.90129
Ahmed, Mohamed Osama; Vaswani, Sharan; Schmidt, Mark
3
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.
3
2020
Classification with costly features as a sequential decision-making problem. Zbl 1522.68462
Janisch, Jaromír; Pevný, Tomáš; Lisý, Viliam
2
2020
Bonsai: diverse and shallow trees for extreme multi-label classification. Zbl 1523.68062
Khandagale, Sujay; Xiao, Han; Babbar, Rohit
2
2020
Embedding-based silhouette community detection. Zbl 1523.68069
Škrlj, Blaž; Kralj, Jan; Lavrač, Nada
2
2020
Improving coordination in small-scale multi-agent deep reinforcement learning through memory-driven communication. Zbl 1524.68326
Pesce, Emanuele; Montana, Giovanni
2
2020
Imbalanced regression and extreme value prediction. Zbl 1524.68294
Ribeiro, Rita P.; Moniz, Nuno
2
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
Conditional density estimation and simulation through optimal transport. Zbl 1496.62068
Tabak, Esteban G.; Trigila, Giulio; Zhao, Wenjun
2
2020
Distributed block-diagonal approximation methods for regularized empirical risk minimization. Zbl 1496.68276
Lee, Ching-pei; Chang, Kai-Wei
2
2020
Joint maximization of accuracy and information for learning the structure of a Bayesian network classifier. Zbl 1496.68274
Halbersberg, Dan; Wienreb, Maydan; Lerner, Boaz
2
2020
Exploiting causality in gene network reconstruction based on graph embedding. Zbl 1497.68435
Pio, Gianvito; Ceci, Michelangelo; Prisciandaro, Francesca; Malerba, Donato
2
2020
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41 Sugiyama, Masashi
30 De Raedt, Luc
27 Larrañaga, Pedro
24 Bühlmann, Peter
24 Carrizosa, Emilio
24 Kanamori, Takafumi
23 Kel’manov, Aleksandr Vasil’evich
22 Bertsimas, Dimitris John
22 Bshouty, Nader H.
22 Hullermeier, Eyke
22 Le Thi, Hoai An
21 Liu, Yufeng
21 Powell, Warren Buckler
20 Long, Philip M.
19 Muggleton, Stephen H.
19 Wang, Shitong
19 Xu, Dachuan
18 Alquier, Pierre
18 Bouguila, Nizar
18 Riguzzi, Fabrizio
17 Bielza, Concha
17 Corander, Jukka
17 Inoue, Katsumi
17 Jain, Sanjay
17 Suykens, Johan A. K.
17 Webb, Geoffrey I.
17 Zhou, Zhihua
16 Greco, Salvatore
16 Kadziński, Miłosz
16 Pham Dinh Tao
15 Khandeev, Vladimir Il’ich
15 Mohri, Mehryar
15 Rudin, Cynthia
15 Song, Rui
15 Waegeman, Willem
14 Bartlett, Peter L.
14 Corani, Giorgio
14 Corrente, Salvatore
14 De Baets, Bernard
14 Lu, Wenbin
14 Niedermeier, Rolf
14 Pardalos, Panos M.
14 Peters, Jan
14 Servedio, Rocco A.
14 Suzuki, Taiji
14 Tian, Yingjie
14 Zhang, Dongmei
14 Zhou, Dingxuan
13 Chung, Fu-Lai
13 Grünwald, Peter D.
13 Hand, David J.
13 Hothorn, Torsten
13 Li, Min
13 Mansour, Yishay
13 Shao, Yuanhai
13 Słowiński, Roman
13 Takeda, Akiko
13 Yoshinaka, Ryo
13 Zaffalon, Marco
12 Balcázar, José Luis
12 Ishwaran, Hemant
12 Kersting, Kristian
12 Kinber, Efim B.
12 Larocque, Denis
12 Liang, Faming
12 Lugosi, Gábor
12 Makino, Kazuhisa
12 Romero Morales, Dolores
12 Zhang, Chunxia
11 Blanquero, Rafael
11 Boulesteix, Anne-Laure Isabeau
11 de Campos, Cassio Polpo
11 Hu, Qinghua
11 Munos, Rémi
11 Ng, Michael Kwok-Po
11 Pyatkin, Artëm Valer’evich
11 Shawe-Taylor, John
11 Srinivasan, Ashwin
11 Steinwart, Ingo
11 Wu, Qiang
11 Yang, Yuhong
11 Zhang, Jiangshe
10 Bischl, Bernd
10 Blei, David M.
10 Borkar, Vivek Shripad
10 Cesa-Bianchi, Nicolò
10 Clarke, Bertrand S.
10 Deng, Naiyang
10 Džeroski, Sašo
10 Gámez, José Antonio
10 Greiner, Russell
10 Grzegorczyk, Marco A.
10 Guo, Jiong
10 Hanneke, Steve
10 Hernández-Orallo, Jose
10 Ishii, Shin
10 Komusiewicz, Christian
10 Lin, Chih-Jen
10 McLachlan, Geoffrey John
10 Mhaskar, Hrushikesh N.
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296 Information Sciences
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232 Journal of Machine Learning Research (JMLR)
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