ML - 2019 - volume 108 论文列表 |
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Volume 108, Number 12, December 2019
Gregor H. W. Gebhardt Andras Gabor Kupcsik Gerhard Neumann
Speculate-correct error bounds for k-nearest neighbor classifiers. A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data. 2D compressed learning: support matrix machine with bilinear random projections.Volume 108, Number 11, November 2019
Wataru Kumagai Takafumi Kanamori
Boosting as a kernel-based method.Aleksandr Y. Aravkin Giulio Bottegal Gianluigi Pillonetto
Asymptotically optimal algorithms for budgeted multiple play bandits. Engineering fast multilevel support vector machines.Volume 108, Number 10, October 2019
Heitor Murilo Gomes Albert Bifet Jesse Read Jean Paul Barddal Fabrício Enembreck Bernhard Pfahringer Geoff Holmes Talel Abdessalem
Dynamic attention-integrated neural network for session-based news recommendation.Lemei Zhang Peng Liu Jon Atle Gulla
Collaborative topic regression for predicting topic-based social influence.Asso Hamzehei Raymond K. Wong Danai Koutra Fang Chen
Distributed Bayesian matrix factorization with limited communication.Xiangju Qin Paul Blomstedt Eemeli Leppäaho Pekka Parviainen Samuel Kaski
A Riemannian gossip approach to subspace learning on Grassmann manifold.Bamdev Mishra Hiroyuki Kasai Pratik Jawanpuria Atul Saroop
Attentional multilabel learning over graphs: a message passing approach.Kien Do Truyen Tran Thin Nguyen Svetha Venkatesh
RankMerging: a supervised learning-to-rank framework to predict links in large social networks.Lionel Tabourier Daniel Faria Bernardes Anne-Sophie Libert Renaud Lambiotte
Volume 108, Numbers 8-9, September 2019
Zhize Li Tianyi Zhang Shuyu Cheng Jun Zhu Jian Li
Distribution-free uncertainty quantification for kernel methods by gradient perturbations.Balázs Csanád Csáji Krisztián Balázs Kis
The teaching size: computable teachers and learners for universal languages.Jan Arne Telle José Hernández-Orallo Cèsar Ferri
On the analysis of adaptability in multi-source domain adaptation.Ievgen Redko Amaury Habrard Marc Sebban
CaDET: interpretable parametric conditional density estimation with decision trees and forests. Improving latent variable descriptiveness by modelling rather than ad-hoc factors.Alex Mansbridge Roberto Fierimonte Ilya Feige David Barber
Nuclear discrepancy for single-shot batch active learning.Tom J. Viering Jesse H. Krijthe Marco Loog
Efficient learning with robust gradient descent.Matthew J. Holland Kazushi Ikeda
On PAC-Bayesian bounds for random forests.Stephan Sloth Lorenzen Christian Igel Yevgeny Seldin
TD-regularized actor-critic methods.Simone Parisi Voot Tangkaratt Jan Peters Mohammad Emtiyaz Khan
Compatible natural gradient policy search.Joni Pajarinen Hong Linh Thai Riad Akrour Jan Peters Gerhard Neumann
Temporal pattern attention for multivariate time series forecasting.Shun-Yao Shih Fan-Keng Sun Hung-Yi Lee
Deep collective matrix factorization for augmented multi-view learning.Ragunathan Mariappan Vaibhav Rajan
A flexible probabilistic framework for large-margin mixture of experts.Archit Sharma Siddhartha Saxena Piyush Rai
Joint detection of malicious domains and infected clients.Paul Prasse René Knaebel Lukás Machlica Tomás Pevný Tobias Scheffer
Data scarcity, robustness and extreme multi-label classification.Rohit Babbar Bernhard Schölkopf
LSALSA: accelerated source separation via learned sparse coding.Benjamin Cowen Apoorva Nandini Saridena Anna Choromanska
Grouped Gaussian processes for solar power prediction. Efficient feature selection using shrinkage estimators.Konstantinos Sechidis Laura Azzimonti Adam Craig Pocock Giorgio Corani James Weatherall Gavin Brown
Aggregating Algorithm for prediction of packs.Dmitry Adamskiy Anthony Bellotti Raisa Dzhamtyrova Yuri Kalnishkan
Dynamic principal projection for cost-sensitive online multi-label classification.Hong-Min Chu Kuan-Hao Huang Hsuan-Tien Lin
Introduction to the special issue for the ECML PKDD 2019 journal track.Karsten M. Borgwardt Po-Ling Loh Evimaria Terzi Antti Ukkonen
Volume 108, Number 7, July 2019
Victor Guimarães Aline Paes Gerson Zaverucha
Probabilistic and exact frequent subtree mining in graphs beyond forests.Pascal Welke Tamás Horváth Stefan Wrobel
Lifted discriminative learning of probabilistic logic programs.Arnaud Nguembang Fadja Fabrizio Riguzzi
Semi-supervised online structure learning for composite event recognition.Evangelos Michelioudakis Alexander Artikis Georgios Paliouras
Learning efficient logic programs.Andrew Cropper Stephen H. Muggleton
Guest editors' note.Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018.
Nicolas Lachiche Christel Vrain Fabrizio Riguzzi Elena Bellodi Riccardo Zese
Volume 108, Number 6, June 2019
Tianbao Yang Lijun Zhang Rong Jin Shenghuo Zhu Zhi-Hua Zhou
Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion. Accelerated gradient boosting.Gérard Biau Benoît Cadre Laurent Rouvìère
Constructing effective personalized policies using counterfactual inference from biased data sets with many features.Onur Atan William R. Zame Qiaojun Feng Mihaela van der Schaar
Arbitrage of forecasting experts. Algorithms for learning parsimonious context trees.Volume 108, Number 5, May 2019
Jingchang Liu Linli Xu Shuheng Shen Qing Ling
Millionaire: a hint-guided approach for crowdsourcing.Bo Han Quanming Yao Yuangang Pan Ivor W. Tsang Xiaokui Xiao Qiang Yang Masashi Sugiyama
N-ary decomposition for multi-class classification.Joey Tianyi Zhou Ivor W. Tsang Shen-Shyang Ho Klaus-Robert Müller
Annotation cost-sensitive active learning by tree sampling. Bayesian optimistic Kullback-Leibler exploration.Kanghoon Lee Geon-hyeong Kim Pedro A. Ortega Daniel D. Lee Kee-Eung Kim
Supervised representation learning for multi-label classification.Ming Huang Fuzhen Zhuang Xiao Zhang Xiang Ao Zhengyu Niu Min-Ling Zhang Qing He
Good arm identification via bandit feedback.Hideaki Kano Junya Honda Kentaro Sakamaki Kentaro Matsuura Atsuyoshi Nakamura Masashi Sugiyama
Foreword: special issue for the journal track of the 10th Asian Conference on Machine Learning (ACML 2018).Volume 108, Number 4, April 2019
Sayash Kapoor Kumar Kshitij Patel Purushottam Kar
Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning.Ronghua Shang Yang Meng Chiyang Liu Licheng Jiao Amir Masoud Ghalamzan Esfahani Rustam Stolkin
The risk of trivial solutions in bipartite top ranking. Continuation methods for approximate large scale object sequencing.Xenophon Evangelopoulos Austin J. Brockmeier Tingting Mu John Yannis Goulermas
Improved linear embeddings via Lagrange duality. Visualizing and understanding Sum-Product Networks.Volume 108, Number 3, March 2019
Ulf Johansson Tuve Löfström Henrik Linusson Henrik Boström
Automatic face recognition with well-calibrated confidence measures.Charalambos Eliades Ladislav Lenc Pavel Král Harris Papadopoulos
Combination of inductive mondrian conformal predictors.Paolo Toccaceli Alexander Gammerman
Majority vote ensembles of conformal predictors. Nonparametric predictive distributions based on conformal prediction.Vladimir Vovk Jieli Shen Valery Manokhin Min-ge Xie
Online aggregation of unbounded losses using shifting experts with confidence.Vladimir V'yugin Vladimir G. Trunov
Rethinking statistical learning theory: learning using statistical invariants. Conformal and probabilistic prediction with applications: editorial.Alexander Gammerman Vladimir Vovk Henrik Boström Lars Carlsson
Volume 108, Number 2, February 2019
Alkeos Tsokos Santhosh Narayanan Ioannis Kosmidis Gianluca Baio Mihai Cucuringu Gavin Whitaker Franz J. Király
Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms.Kai Ming Ting Ye Zhu Mark J. Carman Yue Zhu Takashi Washio Zhi-Hua Zhou
Extreme value correction: a method for correcting optimistic estimations in rule learning.Martin Mozina Janez Demsar Ivan Bratko Jure Zabkar
Fast generalization rates for distance metric learning.Han-Jia Ye De-Chuan Zhan Yuan Jiang
A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data.Marc Boullé Clément Charnay Nicolas Lachiche
Learning rates for kernel-based expectile regression.Muhammad Farooq Ingo Steinwart
A greedy feature selection algorithm for Big Data of high dimensionality.Ioannis Tsamardinos Giorgos Borboudakis Pavlos Katsogridakis Polyvios Pratikakis Vassilis Christophides
Volume 108, Number 1, January 2019
Ulf Brefeld Jan Lasek Sebastian Mair
Incorporating domain knowledge in machine learning for soccer outcome prediction.Daniel Berrar Philippe Lopes Werner Dubitzky
Modeling outcomes of soccer matches.Alkeos Tsokos Santhosh Narayanan Ioannis Kosmidis Gianluca Baio Mihai Cucuringu Gavin Whitaker Franz J. Király
Dolores: a model that predicts football match outcomes from all over the world. Learning to predict soccer results from relational data with gradient boosted trees.Ondrej Hubácek Gustav Sourek Filip Zelezný
The Open International Soccer Database for machine learning. Guest editorial: special issue on machine learning for soccer.