Titlebook: Knowledge Discovery in Databases: PKDD 2007; 11th European Confer Joost N. Kok,Jacek Koronacki,Andrzej Skowron Conference proceedings 2007

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Site-Independent Template-Block Detection Of the many approaches proposed, most rely on the assumption of operating within the confines of a single website or require expensive hand-labeling of relevant and non-relevant blocks for model induction. This reduces their applicability, since in many practical scenarios template blocks need to b

有角

Statistical Model for Rough Set Approach to Multicriteria ClassificationRough Set Approach (DRSA) has been introduced to deal with the problem of multicriteria classification. However, in real-life problems, in the presence of noise, the notions of rough approximations were found to be excessively restrictive, which led to the proposal of the Variable Consistency varian

Axon895

Classification of Anti-learnable Biological and Synthetic Dataession, k-nearest neighbors, shrunken centroid, multilayer perceptron and decision trees perform in an unusual way. On certain data sets they classify a randomly sampled training subset nearly perfectly, but systematically perform worse than random guessing on cases unseen in training. We demonstrat

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angina-pectoris

一夫一妻制

An Empirical Comparison of Exact Nearest Neighbour Algorithmsarison of three prominent data structures for exact NNS: KD-Trees, Metric Trees, and Cover Trees. Our results suggest that there is generally little gain in using Metric Trees or Cover Trees instead of KD-Trees for the standard NNS problem.

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