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Titlebook: Combinatorial Machine Learning; A Rough Set Approach Mikhail Moshkov,Beata Zielosko Book 2011 Springer Berlin Heidelberg 2011 Combinatorial

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Approximate Tests, Decision Trees and Rules. 6.1, main notions are discussed. In Sect. 6.2, relationships among .-trees, .-rules and .-tests are studied. In Sects. 6.3 and 6.4, lower and upper bounds on complexity of .-rules, .-trees and .-tests are considered. Sections 6.5, 6.6 and 6.7 are devoted to the discussion of approximate algorithms
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Sleep Deprivation and Pregnancyever, the problems of finding an arbitrary decision or one of the most frequent decisions from the generalized decision look also reasonable..This chapter consists of ten sections. Section 5.1 contains examples of decision tables with many-valued decisions. In Sect. 5.2, main notions are discussed.
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Sleep Deprivation and Neurological Diseases. 6.1, main notions are discussed. In Sect. 6.2, relationships among .-trees, .-rules and .-tests are studied. In Sects. 6.3 and 6.4, lower and upper bounds on complexity of .-rules, .-trees and .-tests are considered. Sections 6.5, 6.6 and 6.7 are devoted to the discussion of approximate algorithms
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Verdoppeln beherrschen. Denn in den beiden Kolonnen 75 57 37 114 +8 m 9 456 4 9H :2: ~ 3648 wird in der linken der erste Faktor 75 systematisch halbiert (wobei die verblei­ benden Reste keine Rolle spielen) und in der rechten der zweite Faktor 57 syste­ matisch ver978-3-322-93907-4
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