Titlebook: Algorithmic Learning Theory; 12th International C Naoki Abe,Roni Khardon,Thomas Zeugmann Conference proceedings 2001 Springer-Verlag Berlin

重力

Karl Fr. Hagenmüller,Gerhard Diepenn some situations, although the target concept may be quite complex when expressed as a function of the attribute values of the instance, it may have a simple relationship with some intermediate (yet to be learned) concepts. In such cases, it may be advantageous to learn both these intermediate conc

参考书目

Karl Fr. Hagenmüller,Gerhard Diepench bag contains all likely configurations for the molecule. While there has been a significant amount of theoretical and empirical research directed towards this problem, most research performed under the multiple-instance model is for concept learning. However, binding affinity between molecules an

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高脚酒杯

Karl Fr. Hagenmüller,Gerhard Diependel is such that the learner requests sequences of positive andnegativ e data andthe relations between the various formalizations in dependence on the number of switches between positive and negative data is investigated. In particular it is shown that there is a proper hierarchy of the notions of l

TEN

brother

https://doi.org/10.1007/978-3-322-83519-2this paper we study classes of languages where the unions of up to a fixed number (. say) of languages from the class are identifiable. We distinguish between two different scenarios: in one scenario,the learner need only to name the language which results from the union; in the other, the learner m

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拍翅

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/152966.jpg

Hormones

https://doi.org/10.1007/3-540-45583-3Algorithmic Learning; Computational Learning; Concept Learning; Discovery Science; Inductive Inference; L

压舱物

978-3-540-42875-6Springer-Verlag Berlin Heidelberg 2001