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Titlebook: Discovery Science; 13th International C Bernhard Pfahringer,Geoff Holmes,Achim Hoffmann Conference proceedings 2010 Springer Berlin Heidelb

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Unternehmensethik und strategische Planunge been adapted for this task, including k-Nearest Neighbours (k-NN) and decision trees. Following this line, we propose an adaptation of the naive Bayes classification algorithm for the label ranking problem. Our main idea lies in the use of similarity between the rankings to replace the concept of
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https://doi.org/10.1007/978-3-662-41482-8 comparison to the size of the parameter spaces being investigated. New tools are required to assist scientists in the effective characterisation of such behaviours. By combining artificial intelligence techniques for active experiment selection, with a microfluidic experimentation platform that red
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Strategische Unternehmungsführung of election results. Our inquiry is based on the 2009 German federal Bundestag election (restricted to the City of Cologne) and additional socio-economic information about Cologne’s polling districts. The task is to describe relations between socio-economic variables and the votes in order to summa
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Abby Ghobadian,Nicholas O’Regan,Howard Vineyt margin optimization problem where each dimension corresponds to a substring pattern. Then we solve this problem by using LPBoost and an optimal substring discovery algorithm. Since the problem is a linear program, the resulting solution is likely to be sparse, which is useful for feature selection
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