Titlebook: Computational Learning Theory; 15th Annual Conferen Jyrki Kivinen,Robert H. Sloan Conference proceedings 2002 Springer-Verlag Berlin Heidel

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书目名称Computational Learning Theory影响因子(影响力)




书目名称Computational Learning Theory影响因子(影响力)学科排名




书目名称Computational Learning Theory网络公开度




书目名称Computational Learning Theory网络公开度学科排名




书目名称Computational Learning Theory被引频次




书目名称Computational Learning Theory被引频次学科排名




书目名称Computational Learning Theory年度引用




书目名称Computational Learning Theory年度引用学科排名




书目名称Computational Learning Theory读者反馈




书目名称Computational Learning Theory读者反馈学科排名

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Entropy, Combinatorial Dimensions and Random Averages function-class setup. Using this parameter we establish entropy bounds for subsets of the .-dimensional unit cube, and in particular, we present new bounds on the empirical covering numbers and gaussian averages associated with classes of functions in terms of the fat-shattering dimension.

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Tdd526

Path Kernels and Multiplicative Updatesroducts for all paths are summed. We also have a set of probabilities on the edges so that the outflow from each node is one. We then discuss multiplicative updates on these graphs where the prediction is essentially a kernel computation and the update contributes a factor to each edge. Now the tota

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原谅

Learning Tree Languages from Text2000 paper is generalizable from the case of string languages towards tree languages, hence providing a large source of identifiable classes of regular tree languages. Each of these classes can be characterized in various ways. Moreover, we present a generic inference algorithm with polynomial updat

被告

Polynomial Time Inductive Inference of Ordered Tree Patterns with Internal Structured Variables fromtured pattern in such tree structured data, we propose an ordered tree pattern, called a term tree, which is a rooted tree pattern consisting of ordered children and internal structured variables. A term tree is a generalization of standard tree patterns representing first order terms in formal logi