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Machine Learning, Volume 69, 2007
Volume 69, Number 1, October 2007
- Zhihua Zhang, James T. Kwok, Dit-Yan Yeung:
Surrogate maximization/minimization algorithms and extensions. 1-33 - Ying Yang, Geoffrey I. Webb
, Kevin B. Korb, Kai Ming Ting:
Classifying under computational resource constraints: anytime classification using probabilistic estimators. 35-53 - Gökhan Tür:
Extending boosting for large scale spoken language understanding. 55-74
Volume 69, Numbers 2-3, December 2007
- Avrim Blum, Gábor Lugosi
, Hans Ulrich Simon
:
Introduction to the special issue on COLT 2006. 75-77 - Homin K. Lee, Rocco A. Servedio, Andrew Wan:
DNF are teachable in the average case. 79-96 - Adam R. Klivans, Alexander A. Sherstov:
Unconditional lower bounds for learning intersections of halfspaces. 97-114 - Shai Shalev-Shwartz, Yoram Singer:
A primal-dual perspective of online learning algorithms. 115-142 - Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile:
Tracking the best hyperplane with a simple budget Perceptron. 143-167 - Elad Hazan
, Amit Agarwal, Satyen Kale:
Logarithmic regret algorithms for online convex optimization. 169-192 - Vladimir Vovk
:
Competing with wild prediction rules. 193-212 - Shai Fine, Yishay Mansour:
Active sampling for multiple output identification. 213-228
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