MLJ 2019
82 papers
A Greedy Feature Selection Algorithm for Big Data of High Dimensionality
Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis, Polyvios Pratikakis, Vassilis Christophides Accelerated Gradient Boosting
Gérard Biau, Benoît Cadre, Laurent Rouvìère Aggregating Algorithm for Prediction of Packs
Dmitry Adamskiy, Anthony Bellotti, Raisa Dzhamtyrova, Yuri Kalnishkan Arbitrage of Forecasting Experts
Vítor Cerqueira, Luís Torgo, Fábio Pinto, Carlos Soares Automatic Face Recognition with Well-Calibrated Confidence Measures
Charalambos Eliades, Ladislav Lenc, Pavel Král, Harris Papadopoulos Bayesian Optimistic Kullback-Leibler Exploration
Kanghoon Lee, Geon-hyeong Kim, Pedro A. Ortega, Daniel D. Lee, Kee-Eung Kim Boosting as a Kernel-Based Method
Aleksandr Y. Aravkin, Giulio Bottegal, Gianluigi Pillonetto Compatible Natural Gradient Policy Search
Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann Continuation Methods for Approximate Large Scale Object Sequencing
Xenophon Evangelopoulos, Austin J. Brockmeier, Tingting Mu, John Yannis Goulermas Correction to: Adaptive Random Forests for Evolving Data Stream Classification
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem Correction to: Modeling Outcomes of Soccer Matches
Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király Corruption-Tolerant Bandit Learning
Sayash Kapoor, Kumar Kshitij Patel, Purushottam Kar Distributed Bayesian Matrix Factorization with Limited Communication
Xiangju Qin, Paul Blomstedt, Eemeli Leppäaho, Pekka Parviainen, Samuel Kaski Efficient Feature Selection Using Shrinkage Estimators
Konstantinos Sechidis, Laura Azzimonti, Adam Craig Pocock, Giorgio Corani, James Weatherall, Gavin Brown Efficient Venn Predictors Using Random Forests
Ulf Johansson, Tuve Löfström, Henrik Linusson, Henrik Boström Good Arm Identification via Bandit Feedback
Hideaki Kano, Junya Honda, Kentaro Sakamaki, Kentaro Matsuura, Atsuyoshi Nakamura, Masashi Sugiyama Joint Detection of Malicious Domains and Infected Clients
Paul Prasse, René Knaebel, Lukás Machlica, Tomás Pevný, Tobias Scheffer Learning Efficient Logic Programs
Andrew Cropper, Stephen H. Muggleton Millionaire: A Hint-Guided Approach for Crowdsourcing
Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama Modeling Outcomes of Soccer Matches
Alkeos Tsokos, Santhosh Narayanan, Ioannis Kosmidis, Gianluca Baio, Mihai Cucuringu, Gavin Whitaker, Franz J. Király N-Ary Decomposition for Multi-Class Classification
Joey Tianyi Zhou, Ivor W. Tsang, Shen-Shyang Ho, Klaus-Robert Müller On PAC-Bayesian Bounds for Random Forests
Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin Supervised Representation Learning for Multi-Label Classification
Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He TD-Regularized Actor-Critic Methods
Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan The Open International Soccer Database for Machine Learning
Werner Dubitzky, Philippe Lopes, Jesse Davis, Daniel Berrar 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 Visualizing and Understanding Sum-Product Networks
Antonio Vergari, Nicola Di Mauro, Floriana Esposito