dblp: Machine Learning, Volume 90 (original) (raw)

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Volume 90, Number 1, January 2013

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    Adriana Birlutiu, Perry Groot, Tom Heskes:
    Efficiently learning the preferences of people. 1-28
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    Kanta Naito, Shinto Eguchi:
    Density estimation with minimization of U-divergence. 29-57
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    Kun Deng, Yaling Zheng, Chris Bourke, Stephen Scott, Julie Masciale:
    New algorithms for budgeted learning. 59-90
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    Mahito Sugiyama, Eiju Hirowatari, Hideki Tsuiki, Akihiro Yamamoto:
    Learning figures with the Hausdorff metric by fractals - towards computable binary classification. 91-126
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    Kai Ming Ting, Guang-Tong Zhou, Fei Tony Liu, Swee Chuan Tan:
    Mass estimation. 127-160

Volume 90, Number 2, February 2013

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    Liu Yang, Steve Hanneke, Jaime G. Carbonell:
    A theory of transfer learning with applications to active learning. 161-189
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    Frank Dondelinger, Sophie Lèbre, Dirk Husmeier:
    Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure. 191-230
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    Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz:
    Forecasting electricity consumption by aggregating specialized experts - A review of the sequential aggregation of specialized experts, with an application to Slovakian and French country-wide one-day-ahead (half-)hourly predictions. 231-260
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    Esma Aïmeur, Gilles Brassard, Sébastien Gambs:
    Quantum speed-up for unsupervised learning. 261-287
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    Steven C. H. Hoi, Rong Jin, Peilin Zhao, Tianbao Yang:
    Online Multiple Kernel Classification. 289-316

Volume 90, Number 3, March 2013

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    João Gama, Raquel Sebastião, Pedro Pereira Rodrigues:
    On evaluating stream learning algorithms. 317-346
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    Koby Crammer, Claudio Gentile:
    Multiclass classification with bandit feedback using adaptive regularization. 347-383
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    Todd Hester, Peter Stone:
    TEXPLORE: real-time sample-efficient reinforcement learning for robots. 385-429
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    Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama:
    Computational complexity of kernel-based density-ratio estimation: a condition number analysis. 431-460

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