Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Wray Buntine,Marko Grobelnik,John Shawe-Taylor Conference proce

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978-3-642-04179-2Springer-Verlag Berlin Heidelberg 2009

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Machine Learning and Knowledge Discovery in Databases978-3-642-04180-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Harnessing the Strengths of Anytime Algorithms for Constant Data Streamsd in this paper is to improve the quality of the result over that of traditional budget approaches, which are used in an abundance of stream mining applications. Using anytime classification as an example application we show for SVM, Bayes and nearest neighbor classifiers that both our novel approac

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Raúl Santos-Rodríguez,Alicia Guerrero-Curieses,Rocío Alaiz-Rodríguez,Jesús Cid-Sueiro

gerrymander

Francesco Bonchi,Carlos Castillo,Debora Donato,Aristides Gionis

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