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ORCIDMachine Learning, Volume 85
Volume 85, Numbers 1-2, October 2011
- Süreyya Özögür-Akyüz, Devrim Ünay, Alexander J. Smola:
Guest editorial: model selection and optimization in machine learning. 1-2 - Bharath K. Sriperumbudur, David A. Torres, Gert R. G. Lanckriet:
A majorization-minimization approach to the sparse generalized eigenvalue problem. 3-39 - Hsiang-Fu Yu, Fang-Lan Huang, Chih-Jen Lin
:
Dual coordinate descent methods for logistic regression and maximum entropy models. 41-75 - Taiji Suzuki, Ryota Tomioka:
SpicyMKL: a fast algorithm for Multiple Kernel Learning with thousands of kernels. 77-108 - Peter Karsmakers, Kristiaan Pelckmans, Kris De Brabanter, Hugo Van hamme, Johan A. K. Suykens:
Sparse conjugate directions pursuit with application to fixed-size kernel models. 109-148 - Olivier Chapelle, Pannagadatta K. Shivaswamy, Srinivas Vadrevu, Kilian Q. Weinberger, Ya Zhang, Belle L. Tseng:
Boosted multi-task learning. 149-173 - Gregory M. Moore, Charles Bergeron, Kristin P. Bennett:
Model selection for primal SVM. 175-208 - Zeev Volkovich, Zeev Barzily, Gerhard-Wilhelm Weber, Dvora Toledano-Kitai, Renata Avros:
Resampling approach for cluster model selection. 209-248
Volume 85, Number 3, December 2011
- Takashi Takenouchi, Shin Ishii:
Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions. 249-272 - Marta Arias, José L. Balcázar:
Construction and learnability of canonical Horn formulas. 273-297 - Amir Massoud Farahmand, Csaba Szepesvári:
Model selection in reinforcement learning. 299-332 - Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank:
Classifier chains for multi-label classification. 333-359 - Junya Honda, Akimichi Takemura:
An asymptotically optimal policy for finite support models in the multiarmed bandit problem. 361-391
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