MLJ 2017
70 papers
A Bayesian Nonparametric Model for Multi-Label Learning
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo 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 Big Data: From Collection to Visualization
Mohammed Ghesmoune, Hanene Azzag, Salima Benbernou, Mustapha Lebbah, Tarn Duong, Mourad Ouziri Boosted Multivariate Trees for Longitudinal Data
Amol Pande, Liang Li, Jeevanantham Rajeswaran, John Ehrlinger, Udaya B. Kogalur, Eugene Blackstone, Hemant Ishwaran Constraint-Based Clustering Selection
Toon van Craenendonck, Hendrik Blockeel Efficient Parameter Learning of Bayesian Network Classifiers
Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck Exceptional Contextual Subgraph Mining
Mehdi Kaytoue, Marc Plantevit, Albrecht Zimmermann, Ahmed Anes Bendimerad, Céline Robardet Generalized Exploration in Policy Search
Herke van Hoof, Daniel Tanneberg, Jan Peters Graph-Based Predictable Feature Analysis
Björn Weghenkel, Asja Fischer, Laurenz Wiskott Homotopy Continuation Approaches for Robust SV Classification and Regression
Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Masayuki Karasuyama, Ichiro Takeuchi Learning Constraints in Spreadsheets and Tabular Data
Samuel Kolb, Sergey Paramonov, Tias Guns, Luc De Raedt Multi-View Kernel Completion
Sahely Bhadra, Samuel Kaski, Juho Rousu Nearest Neighbors Distance Ratio Open-Set Classifier
Pedro Ribeiro Mendes Júnior, Roberto Medeiros de Souza, Rafael de Oliveira Werneck, Bernardo V. Stein, Daniel V. Pazinato, Waldir R. de Almeida, Otávio A. B. Penatti, Ricardo da Silva Torres, Anderson Rocha Optimal Classification Trees
Dimitris Bertsimas, Jack Dunn Planning in Hybrid Relational MDPs
Davide Nitti, Vaishak Belle, Tinne De Laet, Luc De Raedt QCC: A Novel Clustering Algorithm Based on Quasi-Cluster Centers
Jinlong Huang, Qingsheng Zhu, Lijun Yang, Dongdong Cheng, Quanwang Wu Relational Data Factorization
Sergey Paramonov, Matthijs van Leeuwen, Luc De Raedt Soft Quantification in Statistical Relational Learning
Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock Sparse Probit Linear Mixed Model
Stephan Mandt, Florian Wenzel, Shinichi Nakajima, John P. Cunningham, Christoph Lippert, Marius Kloft Special Issue on Inductive Logic Programming
Katsumi Inoue, Hayato Ohwada, Akihiro Yamamoto Statistical Comparison of Classifiers Through Bayesian Hierarchical Modelling
Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon The Mechanism of Additive Composition
Ran Tian, Naoaki Okazaki, Kentaro Inui Varying-Coefficient Models for Geospatial Transfer Learning
Matthias Bussas, Christoph Sawade, Nicolas Kühn, Tobias Scheffer, Niels Landwehr Weightless Neural Networks for Open Set Recognition
Douglas de O. Cardoso, João Gama, Felipe M. G. França