Titlebook: Discovery Science; 9th International Co Ljup?o Todorovski,Nada Lavra?,Klaus P. Jantke Conference proceedings 2006 Springer-Verlag Berlin He

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A New Family of String Classifiers Based on Local Relatednessmeasurements. In order to achieve practically efficient algorithms for finding the best classifier, we investigate pruning heuristics and fast string matching techniques based on the properties of the local relatedness measurements.

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Johannes K?bberling,Caroline Renate Pickardt for solving SILPs. Here, we are particularly interested in methods related to boosting. We review recent theoretical results concerning the convergence of these algorithms and conclude this work with a discussion of empirical results comparing these algorithms.

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https://doi.org/10.1007/978-3-662-45069-7 proposed query algorithms and index structures. We study analytically the worst-case time complexities of querying condensed representations and evaluate experimentally the query efficiency with random itemset queries to several benchmark transaction databases.

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Obedient

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Longitude

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Conference proceedings 2006 the 17th International Conference on Algorithmic Learning Theory (ALT 2006). The two conferences shared the invited talks. This LNAI volume, containing the proceedings of the 9th International C- ference onDiscoveryScience, is structured in three parts. The ?rstpart contains the papers/abstracts of

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https://doi.org/10.1007/11893318algorithms; knowledge discovery; learning; learning theory; machine learning; science; scientific discover

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