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ORCIDMachine Learning, Volume 89
Volume 89, Numbers 1-2, October 2012
- Dimitrios Gunopulos
, Donato Malerba, Michalis Vazirgiannis:
Guest editors' introduction: special issue of selected papers from ECML PKDD 2011. 1-3 - Aurélien Bellet, Amaury Habrard, Marc Sebban:
Good edit similarity learning by loss minimization. 5-35 - Alessandro Rozza, Gabriele Lombardi, Claudio Ceruti, Elena Casiraghi, Paola Campadelli:
Novel high intrinsic dimensionality estimators. 37-65 - Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer:
Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. 67-86 - Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
Sequential approaches for learning datum-wise sparse representations. 87-122 - Johannes Fürnkranz, Eyke Hüllermeier, Weiwei Cheng, Sang-Hyeun Park:
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm. 123-156 - Gayle Leen, Jaakko Peltonen, Samuel Kaski:
Focused multi-task learning in a Gaussian process framework. 157-182 - Ali Fallah Tehrani, Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier:
Learning monotone nonlinear models using the Choquet integral. 183-211
Volume 89, Number 3, December 2012
- Stephen H. Muggleton, Jianzhong Chen:
Guest editorial: special issue on Inductive Logic Programming (ILP 2011). 213-214 - Joris Renkens, Guy Van den Broeck, Siegfried Nijssen:
k-Optimal: a novel approximate inference algorithm for ProbLog. 215-231 - Frédéric Koriche:
Relational networks of conditional preferences. 233-255 - Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao:
Learning compact Markov logic networks with decision trees. 257-277 - James Cussens:
Online Bayesian inference for the parameters of PRISM programs. 279-297 - Oliver Schulte, Hassan Khosravi, Tong Man:
Learning directed relational models with recursive dependencies. 299-316
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