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ORCIDMachine Learning, Volume 92
Volume 92, Number 1, July 2013
- Tijl De Bie, Peter A. Flach
:
Guest editors' introduction: special issue of selected papers from ECML-PKDD 2012. 1-3 - Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, John Collins:
A reinforcement learning approach to autonomous decision-making in smart electricity markets. 5-39 - Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr:
Active evaluation of ranking functions based on graded relevance. 41-64 - Abhishek Kumar, Shankar Vembu, Aditya Krishna Menon, Charles Elkan:
Beam search algorithms for multilabel learning. 65-89 - Babak Ahmadi, Kristian Kersting, Martin Mladenov, Sriraam Natarajan:
Exploiting symmetries for scaling loopy belief propagation and relational training. 91-132 - Peipei Yang, Kaizhu Huang, Cheng-Lin Liu:
Geometry preserving multi-task metric learning. 133-175 - Stefano Ermon, Yexiang Xue, Carla P. Gomes, Bart Selman:
Learning policies for battery usage optimization in electric vehicles. 177-194 - Zheng Zhao, Ruiwen Zhang, James Cox, David Duling, Warren Sarle:
Massively parallel feature selection: an approach based on variance preservation. 195-220
Volume 92, Numbers 2-3, September 2013
- Zhi-Hua Zhou, Wee Sun Lee, Steven C. H. Hoi, Wray L. Buntine, Hiroshi Motoda:
Introduction: special issue of selected papers of ACML 2012. 221-223 - Arto Klami:
Bayesian object matching. 225-250 - Sandhya Prabhakaran, David Adametz, Karin J. Metzner, Alexander Böhm, Volker Roth:
Recovering networks from distance data. 251-283 - Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvärinen:
Correlated topographic analysis: estimating an ordering of correlated components. 285-317 - Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan:
Variational Bayesian sparse additive matrix factorization. 319-347 - Vladimir Vovk:
Conditional validity of inductive conformal predictors. 349-376 - Raphaël Féraud, Tanguy Urvoy:
Exploration and exploitation of scratch games. 377-401 - Weijia Wang, Michèle Sebag:
Hypervolume indicator and dominance reward based multi-objective Monte-Carlo Tree Search. 403-429 - Nicholas Navaroli, Christopher DuBois, Padhraic Smyth:
Modeling individual email patterns over time with latent variable models. 431-455 - Omid Madani, Manfred Georg, David A. Ross:
On using nearly-independent feature families for high precision and confidence. 457-477 - Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón:
Multi-stage classifier design. 479-502
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