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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: 1,685 Publications (since 1988)
References Indexed: 1,236 Publications with 54,109 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 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 Cohen, William W.
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 3,226 more Authors

Publications by Year

Citations contained in zbMATH Open

1,110 Publications have been cited 15,788 times in 10,686 Documents Cited by Year
Random forests. Zbl 1007.68152
Breiman, Leo
2001
Support-vector networks. Zbl 0831.68098
Cortes, Corinna; Vapnik, Vladimir
1995
Bagging predictors. Zbl 0858.68080
Breiman, Leo
778
1996
\({\mathcal Q}\)-learning. Zbl 0773.68062
Watkins, Christopher J. C. H.; Dayan, Peter
356
1992
Learning Bayesian networks: The combination of knowledge and statistical data. Zbl 0831.68096
Heckerman, David; Geiger, Dan; Chickering, David M.
263
1995
Finite-time analysis of the multiarmed bandit problem. Zbl 1012.68093
Auer, Peter; Cesa-Bianchi, Nicolò; Fischer, Paul
254
2002
Gene selection for cancer classification using support vector machines. Zbl 0998.68111
Guyon, Isabelle; Weston, Jason; Barnhill, Stephen; Vapnik, Vladimir
250
2002
An introduction to variational methods for graphical models. Zbl 0945.68164
Jordan, I. Michael; Ghahramani, Zoubin; Jaakkola, Tommi S.; Saul, Lawrence K.
244
1999
Queries and concept learning. Zbl 1470.68050
Angluin, Dana
237
1988
A Bayesian method for the induction of probabilistic networks from data. Zbl 0766.68109
Cooper, Gregory F.; Herskovits, Edward
193
1992
Correlation clustering. Zbl 1089.68085
Bansal, Nikhil; Blum, Avrim; Chawla, Shuchi
186
2004
Bayesian network classifiers. Zbl 0892.68077
Friedman, Nir; Geiger, Dan; Goldszmidt, Moises
172
1997
Markov logic networks. Zbl 1470.68221
Richardson, Matthew; Domingos, Pedro
165
2006
NP-hardness of Euclidean sum-of-squares clustering. Zbl 1378.68047
Aloise, Daniel; Deshpande, Amit; Hansen, Pierre; Popat, Preyas
152
2009
Simple statistical gradient-following algorithms for connectionist reinforcement learning. Zbl 0772.68076
Williams, Ronald J.
146
1992
An introduction to MCMC for machine learning. Zbl 1033.68081
Andrieu, Christophe; de Freitas, Nando; Doucet, Arnaud; Jordan, Michael I.
142
2003
Choosing multiple parameters for support vector machines. Zbl 0998.68101
Chapelle, Olivier; Vapnik, Vladimir; Bousquet, Olivier; Mukherjee, Sayan
135
2002
Convex multi-task feature learning. Zbl 1470.68073
Argyriou, Andreas; Evgeniou, Theodoros; Pontil, Massimiliano
134
2008
The max-min hill-climbing Bayesian network structure learning algorithm. Zbl 1470.68192
Tsamardinos, Ioannis; Brown, Laura E.; Aliferis, Constantin F.
132
2006
Improved boosting algorithms using confidence-rated predictions. Zbl 0945.68194
Schapire, Robert E.; Singer, Yoram
129
1999
On the optimality of the simple Bayesian classifier under zero-one loss. Zbl 0892.68076
Domingos, Pedro; Pazzani, Michael
106
1997
Soft margins for AdaBoost. Zbl 0969.68128
Rätsch, G.; Onoda, T.; Müller, K.-R.
96
2001
Semi-supervised learning on Riemannian manifolds. Zbl 1089.68086
Belkin, Mikhail; Niyogi, Partha
93
2004
Approximation and estimation bounds for artificial neural networks. Zbl 0818.68127
Barron, Andrew R.
91
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.
84
2001
Text classification from labeled and unlabeled documents using EM. Zbl 0949.68162
Nigam, Kamal; McCallum, Andrew Kachites; Thrun, Sebastian; Mitchell, Tom
84
2000
Stacked regressions. Zbl 0849.68104
Breiman, Leo
79
1996
Support vector data description. Zbl 1078.68728
Tax, David M. J.; Duin, Robert P. W.
78
2004
BoosTexter: A boosting-based system for text categorization. Zbl 0951.68561
Schapire, Robert E.; Singer, Yoram
76
2000
Very simple classification rules perform well on most commonly used datasets. Zbl 0850.68278
Holte, Robert C.
76
1993
Multicategory proximal support vector machine classifiers. Zbl 1101.68758
Fung, Glenn M.; Mangasarian, O. L.
75
2005
Asynchronous stochastic approximation and Q-learning. Zbl 0820.68105
Tsitsiklis, John N.
72
1994
Toward efficient agnostic learning. Zbl 0938.68797
Kearns, Michael J.; Schapire, Robert E.; Sellie, Linda M.
70
1994
Extremely randomized trees. Zbl 1110.68124
Geurts, Pierre; Ernst, Damien; Wehenkel, Louis
70
2006
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
69
2000
Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Zbl 1027.68113
Kuncheva, Ludmila I.; Whitaker, Christopher J.
69
2003
Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks. Zbl 1033.68104
Friedman, Nir; Koller, Daphne
68
2003
Concept decompositions for large sparse text data using clustering. Zbl 0970.68167
Dhillon, Inderjit S.; Modha, Dharmendra S.
68
2001
Theoretical and empirical analysis of ReliefF and RReliefF. Zbl 1076.68065
Robnik-Šikonja, Marko; Kononenko, Igor
67
2003
Optimal classification trees. Zbl 1455.68159
Bertsimas, Dimitris; Dunn, Jack
62
2017
Clustering large graphs via the singular value decomposition. Zbl 1089.68090
Drineas, P.; Frieze, A.; Kannan, R.; Vempala, S.; Vinay, V.
61
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
61
2003
Model selection and error estimation. Zbl 0998.68117
Bartlett, Peter L.; Boucheron, Stéphane; Lugosi, Gábor
60
2002
Unsupervised learning by probabilistic latent semantic analysis. Zbl 0970.68130
Hofmann, Thomas
58
2001
Robust classification for imprecise environments. Zbl 0969.68126
Provost, Foster; Fawcett, Tom
58
2001
Large margin classification using the perceptron algorithm. Zbl 0944.68535
Freund, Yoav; Schapire, Robert E.
57
1999
Measuring classifier performance: a coherent alternative to the area under the ROC curve. Zbl 1470.62085
Hand, David J.
57
2009
Learning conjunctions of Horn clauses. Zbl 0766.68107
Angluin, Dana; Frazier, Michael; Pitt, Leonard
54
1992
Logarithmic regret algorithms for online convex optimization. Zbl 1471.68327
Hazan, Elad; Agarwal, Amit; Kale, Satyen
53
2007
Learning from different teachers. Zbl 1027.68106
Angluin, Dana; Kriķis, Mārtiņš
51
2003
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
50
2004
A theory of learning from different domains. Zbl 1470.68081
Ben-David, Shai; Blitzer, John; Crammer, Koby; Kulesza, Alex; Pereira, Fernando; Vaughan, Jennifer Wortman
50
2010
Reduction techniques for instance-based learning algorithms. Zbl 0954.68126
Wilson, D. Randall; Martinez, Tony R.
49
2000
SPADE: An efficient algorithm for mining frequent sequences. Zbl 0970.68052
Zaki, Mohammed J.
47
2001
Inference for the generalization error. Zbl 1039.68104
Nadeau, Claude; Bengio, Yoshua
47
2003
Robust ordinal regression in preference learning and ranking. Zbl 1300.68040
Corrente, Salvatore; Greco, Salvatore; Kadziński, Miłosz; Słowiński, Roman
46
2013
On the learnability and design of output codes for multiclass problems. Zbl 1012.68155
Crammer, Koby; Singer, Yoram
45
2002
Gradient descent optimizes over-parameterized deep ReLU networks. Zbl 1494.68245
Zou, Difan; Cao, Yuan; Zhou, Dongruo; Gu, Quanquan
44
2020
Training invariant support vector machines. Zbl 0998.68102
Decoste, Dennis; Schölkopf, Bernhard
43
2002
Combined SVM-based feature selection and classification. Zbl 1137.90643
Neumann, Julia; Schnörr, Christoph; Steidl, Gabriele
43
2005
Generalized low rank approximations of matrices. Zbl 1087.65043
Ye, Jieping
43
2005
Multilabel classification via calibrated label ranking. Zbl 1470.68108
Fürnkranz, Johannes; Hüllermeier, Eyke; Loza Mencía, Eneldo; Brinker, Klaus
43
2008
Logistic regression, AdaBoost and Bregman distances. Zbl 0998.68123
Collins, Michael; Schapire, Robert E.; Singer, Yoram
42
2002
On the handling of continuous-valued attributes in decision tree generation. Zbl 0767.68084
Fayyad, Usama M.; Irani, Keki B.
40
1992
Convergence results for single-step on-policy reinforcement-learning algorithms. Zbl 0954.68127
Singh, Satinder; Jaakkola, Tommi; Littman, Michael L.; Szepesvári, Csaba
40
2000
Cutting-plane training of structural SVMs. Zbl 1235.68161
Joachims, Thorsten; Finley, Thomas; Yu, Chun-Nam John
40
2009
An algorithmic theory of learning: Robust concepts and random projection. Zbl 1095.68092
Arriaga, Rosa I.; Vempala, Santosh
40
2006
Practical issues in temporal difference learning. Zbl 0772.68075
Tesauro, Gerald
38
1992
Selective sampling using the query by committee algorithm. Zbl 0881.68093
Freund, Yoav; Seung, H. Sebastian; Shamir, Eli; Tishby, Naftali
38
1997
Factorial hidden Markov models. Zbl 0892.68080
Ghahramani, Zoubin; Jordan, Michael I.
38
1997
Linear programming boosting via column generation. Zbl 0998.68105
Demiriz, Ayhan; Bennett, Kristin P.; Shawe-Taylor, John
38
2002
Adaptive probabilistic networks with hidden variables. Zbl 0892.68079
Binder, John; Koller, Daphne; Russell, Stuart; Kanazawa, Keiji
37
1997
Time varying undirected graphs. Zbl 1475.62174
Zhou, Shuheng; Lafferty, John; Wasserman, Larry
35
2010
Relative loss bounds for on-line density estimation with the exponential family of distributions. Zbl 0988.68173
Azoury, Katy S.; Warmuth, M. K.
34
2001
Near-optimal reinforcement learning in polynomial time. Zbl 1014.68071
Kearns, Michael; Singh, Satinder
34
2002
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers. Zbl 0831.68087
Goldberg, Paul W.; Jerrum, Mark R.
34
1995
Mixtures of factor analysers. Bayesian estimation and inference by stochastic simulation. Zbl 1033.68085
Fokoué, Ernest; Titterington, D. M.
34
2003
Quantum speed-up for unsupervised learning. Zbl 1260.68319
Aïmeur, Esma; Brassard, Gilles; Gambs, Sébastien
34
2013
Not so naive Bayes: Aggregating one-dependence estimators. Zbl 1075.68078
Webb, Geoffrey I.; Boughton, Janice R.; Wang, Zhihai
33
2005
On label dependence and loss minimization in multi-label classification. Zbl 1243.68237
Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei; Hüllermeier, Eyke
33
2012
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.
32
2014
Supersparse linear integer models for optimized medical scoring systems. Zbl 1406.62144
Ustun, Berk; Rudin, Cynthia
32
2016
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
32
2011
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
Some PAC-Bayesian theorems. Zbl 0945.68157
McAllester, David A.
31
1999
Tree induction for probability-based ranking. Zbl 1039.68105
Provost, Foster; Domingos, Pedro
31
2003
The hierarchical hidden Markov model: Analysis and applications. Zbl 0901.68178
Fine, Shai; Singer, Yoram; Tishby, Naftali
31
1998
Tracking the best expert. Zbl 0912.68165
Herbster, Mark; Warmuth, Manfred K.
31
1998
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity. Zbl 1470.62054
Dalalyan, A.; Tsybakov, A. B.
31
2008
Learning monotone nonlinear models using the Choquet integral. Zbl 1260.68348
Tehrani, Ali Fallah; Cheng, Weiwei; Dembczyński, Krzysztof; Hüllermeier, Eyke
31
2012
Kernel-based reinforcement learning. Zbl 1014.68069
Ormoneit, Dirk; Sen, Śaunak
30
2002
Support vector machines for classification in nonstandard situations. Zbl 0998.68103
Lin, Yi; Lee, Yoonkyung; Wahba, Grace
30
2002
Optimal control as a graphical model inference problem. Zbl 1243.93133
Kappen, Hilbert J.; Gómez, Vicenç; Opper, Manfred
30
2012
Variable resolution discretization in optimal control. Zbl 1005.68086
Munos, Rémi; Moore, Andrew
29
2002
Logistic model trees. Zbl 1101.68767
Landwehr, Niels; Hall, Mark; Frank, Eibe
29
2005
External control in Markovian genetic regulatory networks. Zbl 1039.68161
Datta, Aniruddha; Choudhary, Ashish; Bittner, Michael L.; Dougherty, Edward R.
29
2003
Improving Markov chain Monte Carlo model search for data mining. Zbl 1050.68120
Giudici, Paolo; Castelo, Robert
28
2003
RE-EM trees: a data mining approach for longitudinal and clustered data. Zbl 1238.68131
Sela, Rebecca J.; Simonoff, Jeffrey S.
28
2012
Using iterated bagging to debias regressions. Zbl 1052.68109
Breiman, Leo
27
2001
Byzantine-robust distributed sparse learning for \(M\)-estimation. Zbl 07753625
Tu, Jiyuan; Liu, Weidong; Mao, Xiaojun
2
2023
Online learning of network bottlenecks via minimax paths. Zbl 07694481
Åkerblom, Niklas; Hoseini, Fazeleh Sadat; Haghir Chehreghani, Morteza
2
2023
Inverse learning in Hilbert scales. Zbl 07730683
Rastogi, Abhishake; Mathé, Peter
1
2023
Online AutoML: an adaptive AutoML framework for online learning. Zbl 07712817
Celik, Bilge; Singh, Prabhant; Vanschoren, Joaquin
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
Robust estimation in regression and classification methods for large dimensional data. Zbl 1518.62019
Zhang, Chunming; Zhu, Lixing; Shen, Yanbo
1
2023
Root-finding approaches for computing conformal prediction set. Zbl 07694482
Ndiaye, Eugene; Takeuchi, Ichiro
1
2023
Limits of multi-relational graphs. Zbl 07694483
Alvarado, Juan; Wang, Yuyi; Ramon, Jan
1
2023
A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety. Zbl 07702703
Makridis, Georgios; Mavrepis, Philip; Kyriazis, Dimosthenis
1
2023
\(\alpha\)ILP: thinking visual scenes as differentiable logic programs. Zbl 07702710
Shindo, Hikaru; Pfanschilling, Viktor; Dhami, Devendra Singh; Kersting, Kristian
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
Embedding to reference t-SNE space addresses batch effects in single-cell classification. Zbl 07694500
Poličar, Pavlin G.; Stražar, Martin; Zupan, Blaž
1
2023
Inductive logic programming at 30. Zbl 07510309
Cropper, Andrew; Dumančić, Sebastijan; Evans, Richard; Muggleton, Stephen H.
5
2022
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
Recursive tree grammar autoencoders. Zbl 07624276
Paaßen, Benjamin; Koprinska, Irena; Yacef, Kalina
2
2022
Large-scale pinball twin support vector machines. Zbl 07624280
Tanveer, M.; Tiwari, A.; Choudhary, R.; Ganaie, M. A.
2
2022
Learning any memory-less discrete semantics for dynamical systems represented by logic programs. Zbl 07624282
Ribeiro, Tony; Folschette, Maxime; Magnin, Morgan; Inoue, Katsumi
2
2022
Stronger data poisoning attacks break data sanitization defenses. Zbl 07510305
Koh, Pang Wei; Steinhardt, Jacob; Liang, Percy
2
2022
Semi-Lipschitz functions and machine learning for discrete dynamical systems on graphs. Zbl 07570143
Falciani, H.; Sánchez-Pérez, E. A.
2
2022
Receiver operating characteristic (ROC) curves: equivalences, beta model, and minimum distance estimation. Zbl 07570154
Gneiting, Tilmann; Vogel, Peter
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
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
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
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
Online strongly convex optimization with unknown delays. Zbl 1491.68272
Wan, Yuanyu; Tu, Wei-Wei; Zhang, Lijun
1
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Multiple partitions alignment via spectral rotation. Zbl 1491.68158
Huang, Shudong; Tsang, Ivor W.; Xu, Zenglin; Lv, Jiancheng
1
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Polynomial-based graph convolutional neural networks for graph classification. Zbl 07570126
Pasa, Luca; Navarin, Nicolò; Sperduti, Alessandro
1
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Semi-supervised latent block model with pairwise constraints. Zbl 07570142
Riverain, Paul; Fossier, Simon; Nadif, Mohamed
1
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Modelling spatiotemporal dynamics from Earth observation data with neural differential equations. Zbl 07570161
Ayed, Ibrahim; de Bézenac, Emmanuel; Pajot, Arthur; Gallinari, Patrick
1
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Embed2detect: temporally clustered embedded words for event detection in social media. Zbl 07510306
Hettiarachchi, Hansi; Adedoyin-Olowe, Mariam; Bhogal, Jagdev; Gaber, Mohamed Medhat
1
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A review on instance ranking problems in statistical learning. Zbl 07510317
Werner, Tino
1
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Reinforcement learning for robotic manipulation using simulated locomotion demonstrations. Zbl 07510318
Kilinc, Ozsel; Montana, Giovanni
1
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Nested aggregation of experts using inducing points for approximated Gaussian process regression. Zbl 07570140
Nakai-Kasai, Ayano; Tanaka, Toshiyuki
1
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Randomized approximate class-specific kernel spectral regression analysis for large-scale face verification. Zbl 07570152
Li, Ke; Wu, Gang
1
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The backbone method for ultra-high dimensional sparse machine learning. Zbl 07570155
Bertsimas, Dimitris; Digalakis, Vassilis jun.
1
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Learning from interpretation transition using differentiable logic programming semantics. Zbl 07510308
Gao, Kun; Wang, Hanpin; Cao, Yongzhi; Inoue, Katsumi
1
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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
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Understanding generalization error of SGD in nonconvex optimization. Zbl 07510315
Zhou, Yi; Liang, Yingbin; Zhang, Huishuai
1
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Multiway \(p\)-spectral graph cuts on Grassmann manifolds. Zbl 07510328
Pasadakis, Dimosthenis; Alappat, Christie Louis; Schenk, Olaf; Wellein, Gerhard
1
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Hierarchical optimal transport for unsupervised domain adaptation. Zbl 07694461
El Hamri, Mourad; Bennani, Younès; Falih, Issam
1
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An accurate, scalable and verifiable protocol for federated differentially private averaging. Zbl 07694464
Sabater, César; Bellet, Aurélien; Ramon, Jan
1
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Variance reduction on general adaptive stochastic mirror descent. Zbl 07694475
Li, Wenjie; Wang, Zhanyu; Zhang, Yichen; Cheng, Guang
1
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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods. Zbl 07432810
Hüllermeier, Eyke; Waegeman, Willem
19
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Regularisation of neural networks by enforcing Lipschitz continuity. Zbl 07432806
Gouk, Henry; Frank, Eibe; Pfahringer, Bernhard; Cree, Michael J.
18
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Learning programs by learning from failures. Zbl 07432822
Cropper, Andrew; Morel, Rolf
9
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The voice of optimization. Zbl 07432802
Bertsimas, Dimitris; Stellato, Bartolomeo
8
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Tensor Q-rank: new data dependent definition of tensor rank. Zbl 07465658
Kong, Hao; Lu, Canyi; Lin, Zhouchen
6
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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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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
4
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Global optimization based on active preference learning with radial basis functions. Zbl 07432807
Bemporad, Alberto; Piga, Dario
4
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Conditional variance penalties and domain shift robustness. Zbl 07432804
Heinze-Deml, Christina; Meinshausen, Nicolai
3
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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
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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Graph-based semi-supervised learning via improving the quality of the graph dynamically. Zbl 07432838
Liang, Jiye; Cui, Junbiao; Wang, Jie; Wei, Wei
3
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Beyond graph neural networks with lifted relational neural networks. Zbl 1515.68279
Šourek, Gustav; Železný, Filip; Kuželka, Ondřej
3
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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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LoRAS: an oversampling approach for imbalanced datasets. Zbl 07432803
Bej, Saptarshi; Davtyan, Narek; Wolfien, Markus; Nassar, Mariam; Wolkenhauer, Olaf
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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Automated adaptation strategies for stream learning. Zbl 07432840
Bakirov, Rashid; Fay, Damien; Gabrys, Bogdan
2
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Testing conditional independence in supervised learning algorithms. Zbl 07465666
Watson, David S.; Wright, Marvin N.
2
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Sampled Gromov Wasserstein. Zbl 07465668
Kerdoncuff, Tanguy; Emonet, Rémi; Sebban, Marc
2
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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
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HIVE-COTE 2.0: a new meta ensemble for time series classification. Zbl 07465780
Middlehurst, Matthew; Large, James; Flynn, Michael; Lines, Jason; Bostrom, Aaron; Bagnall, Anthony
1
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Conditional t-SNE: more informative t-SNE embeddings. Zbl 07465786
Kang, Bo; García García, Darío; Lijffijt, Jefrey; Santos-Rodríguez, Raúl; De Bie, Tijl
1
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Node classification over bipartite graphs through projection. Zbl 07432798
Stankova, Marija; Praet, Stiene; Martens, David; Provost, Foster
1
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\(F^*\): an interpretable transformation of the F-measure. Zbl 07432809
Hand, David J.; Christen, Peter; Kirielle, Nishadi
1
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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
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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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Large scale multi-label learning using Gaussian processes. Zbl 07432827
Panos, Aristeidis; Dellaportas, Petros; Titsias, Michalis K.
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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Analysis of regularized least-squares in reproducing kernel Kreĭn spaces. Zbl 07432832
Liu, Fanghui; Shi, Lei; Huang, Xiaolin; Yang, Jie; Suykens, Johan A. K.
1
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Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training. Zbl 07432833
Kopetzki, Anna-Kathrin; Günnemann, Stephan
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
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Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels. Zbl 07465650
Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
1
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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
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Distance metric learning for graph structured data. Zbl 07465655
Yoshida, Tomoki; Takeuchi, Ichiro; Karasuyama, Masayuki
1
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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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Convex optimization with an interpolation-based projection and its application to deep learning. Zbl 07465672
Akrour, Riad; Atamna, Asma; Peters, Jan
1
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Inverse reinforcement learning in contextual MDPs. Zbl 07465674
Belogolovsky, Stav; Korsunsky, Philip; Mannor, Shie; Tessler, Chen; Zahavy, Tom
1
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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
Gradient descent optimizes over-parameterized deep ReLU networks. Zbl 1494.68245
Zou, Difan; Cao, Yuan; Zhou, Dongruo; Gu, Quanquan
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A survey on semi-supervised learning. Zbl 1441.68215
van Engelen, Jesper E.; Hoos, Holger H.
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Cited by 20,527 Authors

42 Sugiyama, Masashi
33 De Raedt, Luc
29 Larrañaga, Pedro
26 Carrizosa, Emilio
25 Bühlmann, Peter
25 Liu, Yufeng
24 Bshouty, Nader H.
24 Hullermeier, Eyke
24 Kanamori, Takafumi
23 Bertsimas, Dimitris John
23 Kel’manov, Aleksandr Vasil’evich
23 Le Thi, Hoai An
22 Long, Philip M.
22 Powell, Warren Buckler
21 Wang, Shitong
20 Alquier, Pierre
19 Bielza, Concha
19 Muggleton, Stephen H.
19 Song, Rui
19 Xu, Dachuan
18 Bouguila, Nizar
18 Riguzzi, Fabrizio
18 Webb, Geoffrey I.
18 Zhou, Zhihua
17 Corander, Jukka
17 Inoue, Katsumi
17 Jain, Sanjay
17 Suykens, Johan A. K.
16 Greco, Salvatore
16 Kadziński, Miłosz
16 Khandeev, Vladimir Il’ich
16 Lu, Wenbin
16 Mohri, Mehryar
16 Pham Dinh Tao
16 Servedio, Rocco A.
15 Hand, David J.
15 Tian, Yingjie
15 Waegeman, Willem
15 Zhang, Dongmei
15 Zhou, Dingxuan
14 Bartlett, Peter L.
14 Corani, Giorgio
14 Corrente, Salvatore
14 De Baets, Bernard
14 Hothorn, Torsten
14 Niedermeier, Rolf
14 Pardalos, Panos M.
14 Peters, Jan
14 Shen, Xiaotong
14 Suzuki, Taiji
13 Boulesteix, Anne-Laure Isabeau
13 Chung, Fu-Lai
13 Grünwald, Peter D.
13 Kersting, Kristian
13 Larocque, Denis
13 Li, Min
13 Liang, Faming
13 Mansour, Yishay
13 Ng, Michael Kwok-Po
13 Rudin, Cynthia
13 Shao, Yuanhai
13 Słowiński, Roman
13 Takeda, Akiko
13 Yoshinaka, Ryo
13 Zaffalon, Marco
12 Balcázar, José Luis
12 Blanquero, Rafael
12 Blei, David M.
12 Borkar, Vivek Shripad
12 Ching, Wai-Ki
12 Ishwaran, Hemant
12 Kinber, Efim B.
12 Lugosi, Gábor
12 Makino, Kazuhisa
12 Romero Morales, Dolores
12 Srinivasan, Ashwin
12 Wager, Stefan
12 Warmuth, Manfred K.
12 Wu, Qiang
12 Yang, Yuhong
12 Zhang, Chunxia
12 Zhang, Jiangshe
11 Bischl, Bernd
11 de Campos, Cassio Polpo
11 Džeroski, Sašo
11 Fürnkranz, Johannes
11 Grzegorczyk, Marco A.
11 Hanneke, Steve
11 Hu, Qinghua
11 Kosorok, Michael R.
11 Mhaskar, Hrushikesh N.
11 Mukherjee, Sayan
11 Munos, Rémi
11 Pyatkin, Artëm Valer’evich
11 Shawe-Taylor, John
11 Steinwart, Ingo
11 Tsybakov, Alexandre B.
10 Cesa-Bianchi, Nicolò
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10 Cussens, James
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275 Journal of Machine Learning Research (JMLR)
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