Journal: Machine Learning

Volume 69, Issue 2-3

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

Volume 69, Issue 1

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