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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: 1,450 Publications (since 1988)
References Indexed: 1,003 Publications with 42,232 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 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 Bertsimas, Dimitris John
7 Holmes, Geoffrey
7 Kearns, Michael Justin
7 Lugosi, Gábor
7 Pfahringer, Bernhard
7 Provost, Foster
7 Ramon, Jan
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 Kersting, Kristian
6 Kocev, Dragi
6 Landwehr, Niels
6 Lin, Hsuan-Tien
6 Morik, Katharina
6 Suykens, Johan A. K.
6 Tishby, Naftali
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 Gentile, Claudio
5 Getoor, Lise
5 Hoi, Steven C. H.
5 Horváth, Tamás L.
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 Tsang, Ivor Wai-Hung
5 Tsitsiklis, John N.
5 Vovk, Vladimir G.
5 Washio, Takashi
5 Weston, Jason
5 Zaverucha, Gerson
5 Zhao, Peilin
4 Balcan, Maria-Florina
4 Baxter, Jonathan
4 Benavoli, Alessio
4 Brodley, Carla E.
4 Brown, Gavin
4 Dayan, Peter
4 Driessens, Kurt
4 Esposito, Floriana
4 Fawcett, Tom E.
...and 2,596 more Authors

Publications by Year

Citations contained in zbMATH Open

859 Publications have been cited 10,556 times in 7,404 Documents Cited by Year
Random forests. Zbl 1007.68152
Breiman, Leo
916
2001
Support-vector networks. Zbl 0831.68098
Cortes, Corinna; Vapnik, Vladimir
751
1995
Bagging predictors. Zbl 0858.68080
Breiman, Leo
590
1996
Gene selection for cancer classification using support vector machines. Zbl 0998.68111
Guyon, Isabelle; Weston, Jason; Barnhill, Stephen; Vapnik, Vladimir
208
2002
\({\mathcal Q}\)-learning. Zbl 0773.68062
Watkins, Christopher J. C. H.; Dayan, Peter
205
1992
Learning Bayesian networks: The combination of knowledge and statistical data. Zbl 0831.68096
Heckerman, David; Geiger, Dan; Chickering, David M.
203
1995
Finite-time analysis of the multiarmed bandit problem. Zbl 1012.68093
Auer, Peter; Cesa-Bianchi, Nicolò; Fischer, Paul
182
2002
An introduction to variational methods for graphical models. Zbl 0945.68164
Jordan, I. Michael; Ghahramani, Zoubin; Jaakkola, Tommi S.; Saul, Lawrence K.
176
1999
A Bayesian method for the induction of probabilistic networks from data. Zbl 0766.68109
Cooper, Gregory F.; Herskovits, Edward
169
1992
Bayesian network classifiers. Zbl 0892.68077
Friedman, Nir; Geiger, Dan; Goldszmidt, Moises
153
1997
Choosing multiple parameters for support vector machines. Zbl 0998.68101
Chapelle, Olivier; Vapnik, Vladimir; Bousquet, Olivier; Mukherjee, Sayan
124
2002
Correlation clustering. Zbl 1089.68085
Bansal, Nikhil; Blum, Avrim; Chawla, Shuchi
121
2004
Improved boosting algorithms using confidence-rated predictions. Zbl 0945.68194
Schapire, Robert E.; Singer, Yoram
112
1999
NP-hardness of Euclidean sum-of-squares clustering. Zbl 1378.68047
Aloise, Daniel; Deshpande, Amit; Hansen, Pierre; Popat, Preyas
109
2009
On the optimality of the simple Bayesian classifier under zero-one loss. Zbl 0892.68076
Domingos, Pedro; Pazzani, Michael
102
1997
An introduction to MCMC for machine learning. Zbl 1033.68081
Andrieu, Christophe; de Freitas, Nando; Doucet, Arnaud; Jordan, Michael I.
98
2003
Soft margins for AdaBoost. Zbl 0969.68128
Rätsch, G.; Onoda, T.; Müller, K.-R.
88
2001
Simple statistical gradient-following algorithms for connectionist reinforcement learning. Zbl 0772.68076
Williams, Ronald J.
86
1992
Semi-supervised learning on Riemannian manifolds. Zbl 1089.68086
Belkin, Mikhail; Niyogi, Partha
72
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
67
2000
Very simple classification rules perform well on most commonly used datasets. Zbl 0850.68278
Holte, Robert C.
63
1993
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
Stacked regressions. Zbl 0849.68104
Breiman, Leo
61
1996
Support vector data description. Zbl 1078.68728
Tax, David M. J.; Duin, Robert P. W.
60
2004
A simple generalisation of the area under the ROC curve for multiple class classification problems. Zbl 1007.68180
Hand, David J.; Till, Robert J.
60
2001
Multicategory proximal support vector machine classifiers. Zbl 1101.68758
Fung, Glenn M.; Mangasarian, O. L.
60
2005
Toward efficient agnostic learning. Zbl 0938.68797
Kearns, Michael J.; Schapire, Robert E.; Sellie, Linda M.
56
1994
Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Zbl 1027.68113
Kuncheva, Ludmila I.; Whitaker, Christopher J.
56
2003
Asynchronous stochastic approximation and Q-learning. Zbl 0820.68105
Tsitsiklis, John N.
54
1994
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
Extremely randomized trees. Zbl 1110.68124
Geurts, Pierre; Ernst, Damien; Wehenkel, Louis
53
2006
Theoretical and empirical analysis of ReliefF and RReliefF. Zbl 1076.68065
Robnik-Šikonja, Marko; Kononenko, Igor
52
2003
Concept decompositions for large sparse text data using clustering. Zbl 0970.68167
Dhillon, Inderjit S.; Modha, Dharmendra S.
52
2001
Robust classification for imprecise environments. Zbl 0969.68126
Provost, Foster; Fawcett, Tom
52
2001
Model selection and error estimation. Zbl 0998.68117
Bartlett, Peter L.; Boucheron, Stéphane; Lugosi, Gábor
51
2002
Learning from different teachers. Zbl 1027.68106
Angluin, Dana; Kriķis, Mārtiņš
51
2003
Approximation and estimation bounds for artificial neural networks. Zbl 0818.68127
Barron, Andrew R.
50
1994
Learning conjunctions of Horn clauses. Zbl 0766.68107
Angluin, Dana; Frazier, Michael; Pitt, Leonard
48
1992
Clustering large graphs via the singular value decomposition. Zbl 1089.68090
Drineas, P.; Frieze, A.; Kannan, R.; Vempala, S.; Vinay, V.
48
2004
Being Bayesian about network structure. A Bayesian approach to structure discovery in Bayesian networks. Zbl 1033.68104
Friedman, Nir; Koller, Daphne
48
2003
Unsupervised learning by probabilistic latent semantic analysis. Zbl 0970.68130
Hofmann, Thomas
48
2001
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
Reduction techniques for instance-based learning algorithms. Zbl 0954.68126
Wilson, D. Randall; Martinez, Tony R.
45
2000
Large margin classification using the perceptron algorithm. Zbl 0944.68535
Freund, Yoav; Schapire, Robert E.
44
1999
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
39
2003
On the handling of continuous-valued attributes in decision tree generation. Zbl 0767.68084
Fayyad, Usama M.; Irani, Keki B.
37
1992
Training invariant support vector machines. Zbl 0998.68102
Decoste, Dennis; Schölkopf, Bernhard
37
2002
Robust ordinal regression in preference learning and ranking. Zbl 1300.68040
Corrente, Salvatore; Greco, Salvatore; Kadziński, Miłosz; Słowiński, Roman
36
2013
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
SPADE: An efficient algorithm for mining frequent sequences. Zbl 0970.68052
Zaki, Mohammed J.
34
2001
Selective sampling using the query by committee algorithm. Zbl 0881.68093
Freund, Yoav; Seung, H. Sebastian; Shamir, Eli; Tishby, Naftali
34
1997
Linear programming boosting via column generation. Zbl 0998.68105
Demiriz, Ayhan; Bennett, Kristin P.; Shawe-Taylor, John
33
2002
Adaptive probabilistic networks with hidden variables. Zbl 0892.68079
Binder, John; Koller, Daphne; Russell, Stuart; Kanazawa, Keiji
33
1997
Cutting-plane training of structural SVMs. Zbl 1235.68161
Joachims, Thorsten; Finley, Thomas; Yu, Chun-Nam John
33
2009
Convergence results for single-step on-policy reinforcement-learning algorithms. Zbl 0954.68127
Singh, Satinder; Jaakkola, Tommi; Littman, Michael L.; Szepesvári, Csaba
32
2000
Markov logic networks. Zbl 1470.68221
Richardson, Matthew; Domingos, Pedro
32
2006
Practical issues in temporal difference learning. Zbl 0772.68075
Tesauro, Gerald
31
1992
Mixtures of factor analysers. Bayesian estimation and inference by stochastic simulation. Zbl 1033.68085
Fokoué, Ernest; Titterington, D. M.
30
2003
Factorial hidden Markov models. Zbl 0892.68080
Ghahramani, Zoubin; Jordan, Michael I.
30
1997
An algorithmic theory of learning: Robust concepts and random projection. Zbl 1095.68092
Arriaga, Rosa I.; Vempala, Santosh
30
2006
Tracking the best expert. Zbl 0912.68165
Herbster, Mark; Warmuth, Manfred K.
29
1998
Not so naive Bayes: Aggregating one-dependence estimators. Zbl 1075.68078
Webb, Geoffrey I.; Boughton, Janice R.; Wang, Zhihai
29
2005
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers. Zbl 0831.68087
Goldberg, Paul W.; Jerrum, Mark R.
28
1995
Optimal classification trees. Zbl 1455.68159
Bertsimas, Dimitris; Dunn, Jack
28
2017
Support vector machines for classification in nonstandard situations. Zbl 0998.68103
Lin, Yi; Lee, Yoonkyung; Wahba, Grace
27
2002
Convergence of a generalized SMO algorithm for SVM classifier design. Zbl 0998.68109
Keerthi, S. S.; Gilbert, E. G.
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
On label dependence and loss minimization in multi-label classification. Zbl 1243.68237
Dembczyński, Krzysztof; Waegeman, Willem; Cheng, Weiwei; Hüllermeier, Eyke
26
2012
Tree induction for probability-based ranking. Zbl 1039.68105
Provost, Foster; Domingos, Pedro
25
2003
Kernel matching pursuit. Zbl 0998.68120
Vincent, Pascal; Bengio, Yoshua
24
2002
Nonparametric time series prediction through adaptive model selection. Zbl 0954.68124
Meir, Ron
24
2000
Kernel-based reinforcement learning. Zbl 1014.68069
Ormoneit, Dirk; Sen, Śaunak
24
2002
Using iterated bagging to debias regressions. Zbl 1052.68109
Breiman, Leo
23
2001
Efficient read-restricted monotone CNF/DNF dualization by learning with membership queries. Zbl 0948.68097
Domingo, Carlos; Mishra, Nina; Pitt, Leonard
23
1999
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.
23
2014
Detecting communities and their evolutions in dynamic social networks – a Bayesian approach. Zbl 1237.91189
Yang, Tianbao; Chi, Yun; Zhu, Shenghuo; Gong, Yihong; Jin, Rong
22
2011
The max-min hill-climbing Bayesian network structure learning algorithm. Zbl 1470.68192
Tsamardinos, Ioannis; Brown, Laura E.; Aliferis, Constantin F.
22
2006
Some PAC-Bayesian theorems. Zbl 0945.68157
McAllester, David A.
22
1999
Variable resolution discretization in optimal control. Zbl 1005.68086
Munos, Rémi; Moore, Andrew
22
2002
Optimal control as a graphical model inference problem. Zbl 1243.93133
Kappen, Hilbert J.; Gómez, Vicenç; Opper, Manfred
22
2012
The convergence of \(TD(\lambda)\) for general \(\lambda\). Zbl 0773.68060
Dayan, Peter
21
1992
The hierarchical hidden Markov model: Analysis and applications. Zbl 0901.68178
Fine, Shai; Singer, Yoram; Tishby, Naftali
21
1998
Empirical and theoretical comparisons of selected criterion functions for document clustering. Zbl 1089.68615
Zhao, Ying; Karypis, George
21
2004
Bayesian methods for support vector machines: Evidence and predictive class probabilities. Zbl 0998.68098
Sollich, Peter
21
2002
Supersparse linear integer models for optimized medical scoring systems. Zbl 1406.62144
Ustun, Berk; Rudin, Cynthia
21
2016
External control in Markovian genetic regulatory networks. Zbl 1039.68161
Datta, Aniruddha; Choudhary, Ashish; Bittner, Michael L.; Dougherty, Edward R.
21
2003
Near-optimal reinforcement learning in polynomial time. Zbl 1014.68071
Kearns, Michael; Singh, Satinder
21
2002
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
20
2015
Adaptive versus nonadaptive attribute-efficient learning. Zbl 0965.68029
Damaschke, Peter
20
2000
A simple decomposition method for support vector machines. Zbl 0998.68108
Hsu, Chih-Wei; Lin, Chih-Jen
20
2002
Technical update: Least-squares temporal difference learning. Zbl 1014.68072
Boyan, Justin A.
20
2002
ROC ‘n’ rule learning – towards a better understanding of covering algorithms. Zbl 1075.68071
Fürnkranz, Johannes; Flach, Peter A.
20
2005
Universal portfolios with and without transaction costs. Zbl 1083.91509
Blum, Avrim; Kalai, Adam
19
1999
Relational reinforcement learning. Zbl 0988.68088
Džeroski, Sašo; De Raedt, Luc; Driessens, Kurt
19
2001
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods. Zbl 07432810
Hüllermeier, Eyke; Waegeman, Willem
2
2021
Regularisation of neural networks by enforcing Lipschitz continuity. Zbl 07432806
Gouk, Henry; Frank, Eibe; Pfahringer, Bernhard; Cree, Michael J.
1
2021
Global optimization based on active preference learning with radial basis functions. Zbl 07432807
Bemporad, Alberto; Piga, Dario
1
2021
Beneficial and harmful explanatory machine learning. Zbl 07432818
Ai, Lun; Muggleton, Stephen H.; Hocquette, Céline; Gromowski, Mark; Schmid, Ute
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
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
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
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
15
2020
A survey on semi-supervised learning. Zbl 1441.68215
van Engelen, Jesper E.; Hoos, Holger H.
4
2020
Learning from positive and unlabeled data: a survey. Zbl 07224983
Bekker, Jessa; Davis, Jesse
3
2020
Combining Bayesian optimization and Lipschitz optimization. Zbl 1446.90129
Ahmed, Mohamed Osama; Vaswani, Sharan; Schmidt, Mark
3
2020
Evaluating time series forecasting models: an empirical study on performance estimation methods. Zbl 07289218
Cerqueira, Vitor; Torgo, Luis; Mozetič, Igor
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
On cognitive preferences and the plausibility of rule-based models. Zbl 07224986
Fürnkranz, Johannes; Kliegr, Tomáš; Paulheim, Heiko
2
2020
Imbalanced regression and extreme value prediction. Zbl 07289239
Ribeiro, Rita P.; Moniz, Nuno
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
Handling concept drift via model reuse. Zbl 07205220
Zhao, Peng; Cai, Le-Wen; Zhou, Zhi-Hua
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
Exploiting causality in gene network reconstruction based on graph embedding. Zbl 07224999
Pio, Gianvito; Ceci, Michelangelo; Prisciandaro, Francesca; Malerba, Donato
1
2020
On some graph-based two-sample tests for high dimension, low sample size data. Zbl 1446.62150
Sarkar, Soham; Biswas, Rahul; Ghosh, Anil K.
1
2020
Bonsai: diverse and shallow trees for extreme multi-label classification. Zbl 07289221
Khandagale, Sujay; Xiao, Han; Babbar, Rohit
1
2020
Embedding-based silhouette community detection. Zbl 07289224
Škrlj, Blaž; Kralj, Jan; Lavrač, Nada
1
2020
Learning representations from dendrograms. Zbl 07289238
Chehreghani, Morteza Haghir; Chehreghani, Mostafa Haghir
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1
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7
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2
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Visualizing and understanding sum-product networks. Zbl 1482.68208
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2
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2
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\(N\)-ary decomposition for multi-class classification. Zbl 07073608
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2
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Semi-supervised online structure learning for composite event recognition. Zbl 07073620
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Dynamic attention-integrated neural network for session-based news recommendation. Zbl 07097464
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Data scarcity, robustness and extreme multi-label classification. Zbl 07097472
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Distribution-free uncertainty quantification for kernel methods by gradient perturbations. Zbl 07097486
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2
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Rethinking statistical learning theory: learning using statistical invariants. Zbl 1480.62064
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Continuation methods for approximate large scale object sequencing. Zbl 07036680
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Unsupervised feature selection based on kernel Fisher discriminant analysis and regression learning. Zbl 1482.68204
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Guest editorial: Special issue on machine learning for soccer. Zbl 1443.00015
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Good arm identification via bandit feedback. Zbl 07073604
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An accelerated variance reducing stochastic method with Douglas-Rachford splitting. Zbl 07073610
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Arbitrage of forecasting experts. Zbl 07073612
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1
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Accelerated gradient boosting. Zbl 07073614
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Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion. Zbl 07073615
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Probabilistic and exact frequent subtree mining in graphs beyond forests. Zbl 07073622
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Correction to: “Adaptive random forests for evolving data stream classification”. Zbl 07097465
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Dynamic principal projection for cost-sensitive online multi-label classification. Zbl 07097467
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Compatible natural gradient policy search. Zbl 07097477
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The teaching size: computable teachers and learners for universal languages. Zbl 07097485
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Asymptotically optimal algorithms for budgeted multiple play bandits. Zbl 1446.91032
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Ultra-strong machine learning: comprehensibility of programs learned with ILP. Zbl 1461.68191
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Analysis of classifiers’ robustness to adversarial perturbations. Zbl 1462.62383
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1-bit matrix completion: PAC-Bayesian analysis of a variational approximation. Zbl 1461.15032
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Wasserstein discriminant analysis. Zbl 1480.62125
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The online performance estimation framework: heterogeneous ensemble learning for data streams. Zbl 1457.68320
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5
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Meta-interpretive learning from noisy images. Zbl 1461.68190
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ML-plan: automated machine learning via hierarchical planning. Zbl 1473.68157
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Instance spaces for machine learning classification. Zbl 1457.68235
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Best-effort inductive logic programming via fine-grained cost-based hypothesis generation. The Inspire system at the inductive logic programming competition. Zbl 1443.68155
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Learning from binary labels with instance-dependent noise. Zbl 1475.68286
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Efficient benchmarking of algorithm configurators via model-based surrogates. Zbl 1457.68341
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2018
Scalable Gaussian process-based transfer surrogates for hyperparameter optimization. Zbl 1457.68242
Wistuba, Martin; Schilling, Nicolas; Schmidt-Thieme, Lars
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2018
Simple strategies for semi-supervised feature selection. Zbl 1457.68239
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Manifold-based synthetic oversampling with manifold conformance estimation. Zbl 1457.68227
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Improved maximum inner product search with better theoretical guarantee using randomized partition trees. Zbl 1461.68217
Keivani, Omid; Sinha, Kaushik; Ram, Parikshit
2
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Ensembles for multi-target regression with random output selections. Zbl 1475.68262
Breskvar, Martin; Kocev, Dragi; Džeroski, Sašo
2
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Robust Plackett-Luce model for \(k\)-ary crowdsourced preferences. Zbl 1466.91101
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2
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Semi-supervised AUC optimization based on positive-unlabeled learning. Zbl 1458.68178
Sakai, Tomoya; Niu, Gang; Sugiyama, Masashi
2
2018
Online multi-label dependency topic models for text classification. Zbl 1458.68159
Burkhardt, Sophie; Kramer, Stefan
2
2018
Simpler PAC-Bayesian bounds for hostile data. Zbl 1464.62238
Alquier, Pierre; Guedj, Benjamin
2
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Dyad ranking using Plackett-Luce models based on joint feature representations. Zbl 1464.62232
Schäfer, Dirk; Hüllermeier, Eyke
2
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Identification of biological transition systems using meta-interpreted logic programs. Zbl 1461.68171
Bain, Michael; Srinivasan, Ashwin
1
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Approximate structure learning for large Bayesian networks. Zbl 1473.68165
Scanagatta, Mauro; Corani, Giorgio; de Campos, Cassio Polpo; Zaffalon, Marco
1
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High-dimensional penalty selection via minimum description length principle. Zbl 1477.62137
Miyaguchi, Kohei; Yamanishi, Kenji
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Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. Zbl 1473.68189
Petitjean, François; Buntine, Wray; Webb, Geoffrey I.; Zaidi, Nayyar
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Stagewise learning for noisy \(k\)-ary preferences. Zbl 1473.62077
Pan, Yuangang; Han, Bo; Tsang, Ivor W.
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On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis. Zbl 1475.68285
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1
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Optimizing non-decomposable measures with deep networks. Zbl 1475.68321
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1
2018
Discovering a taste for the unusual: exceptional models for preference mining. Zbl 1475.68266
de Sá, Cláudio Rebelo; Duivesteijn, Wouter; Azevedo, Paulo; Jorge, Alípio Mário; Soares, Carlos; Knobbe, Arno
1
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Probabilistic frequent subtrees for efficient graph classification and retrieval. Zbl 1475.68361
Welke, Pascal; Horváth, Tamás; Wrobel, Stefan
1
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Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation. Zbl 07024619
Tsamardinos, Ioannis; Greasidou, Elissavet; Borboudakis, Giorgos
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An adaptive heuristic for feature selection based on complementarity. Zbl 1480.62133
Singha, Sumanta; Shenoy, Prakash P.
1
2018
Metalearning and algorithm selection: progress, state of the art and introduction to the 2018 special issue. Zbl 1386.68125
1
2018
Speeding up algorithm selection using average ranking and active testing by introducing runtime. Zbl 1462.62138
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18 Hullermeier, Eyke
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17 Alquier, Pierre
15 Corander, Jukka
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14 Muggleton, Stephen H.
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