dblp: Machine Learning, Volume 89 (original) (raw)

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Volume 89, Numbers 1-2, October 2012

Special Issue of Selected Papers from ECML PKDD 2011; Guest Editors: Dimitrios Gunopulos, Donato Malerba, and Michalis Vazirgiannis

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    Dimitrios Gunopulos, Donato Malerba, Michalis Vazirgiannis:
    Guest editors' introduction: special issue of selected papers from ECML PKDD 2011. 1-3
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    Aurélien Bellet, Amaury Habrard, Marc Sebban:
    Good edit similarity learning by loss minimization. 5-35
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    Alessandro Rozza, Gabriele Lombardi, Claudio Ceruti, Elena Casiraghi, Paola Campadelli:
    Novel high intrinsic dimensionality estimators. 37-65
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    Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer:
    Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. 67-86
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    Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari:
    Sequential approaches for learning datum-wise sparse representations. 87-122
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    Johannes Fürnkranz, Eyke Hüllermeier, Weiwei Cheng, Sang-Hyeun Park:
    Preference-based reinforcement learning: a formal framework and a policy iteration algorithm. 123-156
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    Gayle Leen, Jaakko Peltonen, Samuel Kaski:
    Focused multi-task learning in a Gaussian process framework. 157-182
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    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

Special Issue on Inductive Logic Programming (ILP 2011); Guest Editors: Stephen Muggleton and Jianzhong Chen

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    Stephen H. Muggleton, Jianzhong Chen:
    Guest editorial: special issue on Inductive Logic Programming (ILP 2011). 213-214
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    Joris Renkens, Guy Van den Broeck, Siegfried Nijssen:
    k-Optimal: a novel approximate inference algorithm for ProbLog. 215-231
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    Frédéric Koriche:
    Relational networks of conditional preferences. 233-255
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    Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao:
    Learning compact Markov logic networks with decision trees. 257-277
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    James Cussens:
    Online Bayesian inference for the parameters of PRISM programs. 279-297
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    Oliver Schulte, Hassan Khosravi, Tong Man:
    Learning directed relational models with recursive dependencies. 299-316

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