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Titlebook: Algorithmic Learning for Knowledge-Based Systems; GOSLER Final Report Klaus P. Jantke,Steffen Lange Book 1995 Springer-Verlag Berlin Heidel

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https://doi.org/10.1007/978-3-658-37123-4n so far. This notion is made mathematically precise and its general power is characterized. In spite of its strength it is shown that this approach is not of universal power. Consequently, then hypotheses are considered which “unprovably misclassify” examples and the properties of this approach are
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Der logische Aufbau des Überzeugungsbriefes to be both correct and “nearly” minimal size, i.e, within a computable function of being purely minimal size. Kinber showed that this parsimony requirement on final programs severely limits learning power. Nonetheless, in, for example, scientific inference, parsimony is considered highly desirable.
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Von der Anfrage bis zur Lieferung of two classes the function belongs are used as subroutines. Upper and lower bounds for number of necessary strategies are obtained in several models: .- and .-identification and .-identification with limited number of mindchanges. It is proved that in .-identification it is necessary to use .−1)/2
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https://doi.org/10.1007/978-3-662-39676-6ation type (., etc.). Qualitative aspects in composing teams are considered. For each . all recursive strategies can be split into several families so that any team identifying . contains strategies from all the families. For . the possibility of such splitting depends upon .. The relation between t
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https://doi.org/10.1007/978-3-662-39676-6fication of recursive predicates and languages. In particular, we compare the classification of predicates and languages with the classification of arbitrary recursive functions and with learning. Moreover, we refine our investigations by introducing classification within a resource bound and establ
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