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Machine Learning, Volume 69, 2007

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Volume 69, Number 1, October 2007

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Zhihua Zhang, James T. Kwok, Dit-Yan Yeung:
Surrogate maximization/minimization algorithms and extensions. 1-33
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Ying Yang, Geoffrey I. Webb, Kevin B. Korb, Kai Ming Ting:
Classifying under computational resource constraints: anytime classification using probabilistic estimators. 35-53
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Gökhan Tür:
Extending boosting for large scale spoken language understanding. 55-74

Volume 69, Numbers 2-3, December 2007

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Avrim Blum, Gábor Lugosi, Hans Ulrich Simon:
Introduction to the special issue on COLT 2006. 75-77
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Homin K. Lee, Rocco A. Servedio, Andrew Wan:
DNF are teachable in the average case. 79-96
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Adam R. Klivans, Alexander A. Sherstov:
Unconditional lower bounds for learning intersections of halfspaces. 97-114
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  - journals/ml/Shalev-ShwartzS07
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Shai Shalev-Shwartz, Yoram Singer:
A primal-dual perspective of online learning algorithms. 115-142
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Giovanni Cavallanti, Nicolò Cesa-Bianchi, Claudio Gentile:
Tracking the best hyperplane with a simple budget Perceptron. 143-167
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Elad Hazan, Amit Agarwal, Satyen Kale:
Logarithmic regret algorithms for online convex optimization. 169-192
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Vladimir Vovk:
Competing with wild prediction rules. 193-212
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Shai Fine, Yishay Mansour:
Active sampling for multiple output identification. 213-228

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