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Titlebook: Learning Theory; 20th Annual Conferen Nader H. Bshouty,Claudio Gentile Conference proceedings 2007 Springer-Verlag Berlin Heidelberg 2007 A

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楼主: 解毒药
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Transductive Rademacher Complexity and Its Applicationss on their Rademacher complexity based on their “unlabeled-labeled” decomposition. This decomposition technique applies to many current and practical graph-based algorithms. Finally, we present a new PAC-Bayesian bound for mixtures of transductive algorithms based on our Rademacher bounds.
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U-Shaped, Iterative, and Iterative-with-Counter Learningnd, finally, ., some target concept. . is a Gold-style learning model in which each of a learner’s output conjectures depends . upon the learner’s just previous conjecture and upon the most recent input element. Previous results had shown, for example, that U-shapes are .necessary for explanatory le
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We investigate a new paradigm in the context ntation of the target language in terms of . sets of rules (two grammars). The second grammar is used to make corrections to the first grammar. Such a pair of grammars can be seen as a single description of (or grammar for) the language. We call such grammars .. Correction grammars capture the obser
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Strategies for Prediction Under Imperfect Monitoring past outcomes but rather to a feedback signal. The proposed strategies are consistent in the sense that they achieve, asymptotically, the best possible average reward. It was Rustichini [11] who first proved the existence of such consistent predictors. The forecasters presented here offer the first
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Dana Ronface energies and liquid diffusion coefficients are probably the most difficult quantities to determine precisely: this contribution raises some questions about the latter..The question arising is whether values of . . derived from solidification (or melting) analyses should be expected to give the
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