Download Algorithmic Learning Theory: 14th International Conference, by Thomas Eiter (auth.), Ricard Gavaldá, Klaus P. Jantke, Eiji PDF

By Thomas Eiter (auth.), Ricard Gavaldá, Klaus P. Jantke, Eiji Takimoto (eds.)

This ebook constitutes the refereed lawsuits of the 14th foreign convention on Algorithmic studying thought, ALT 2003, held in Sapporo, Japan in October 2003.

The 19 revised complete papers offered including 2 invited papers and abstracts of three invited talks have been conscientiously reviewed and chosen from 37 submissions. The papers are equipped in topical sections on inductive inference, studying and knowledge extraction, studying with queries, studying with non-linear optimization, studying from random examples, and on-line prediction.

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Additional resources for Algorithmic Learning Theory: 14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003. Proceedings

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Uk−1 ) = j=0 Dj (uj ) . Moreover, we call a product distribution regular if D0 = · · · = Dk−1 . Throughout this paper, we restrict ourselves to deal with regular distributions. e, D(u0 , . . , uk−1 ) = j=0 d(uj ) . We call a regular distribution admissible if d(a) > 0 for at least two different elements a ∈ A . , d(u) = 1/(2 · |A|) for all strings u ∈ A+ with |u| = . We will express all estimates with the help of the following parameters: E[Λ] , α and β , where Λ is a random variable for the length of the examples drawn.

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Mitchell, A. Sharma, T. Scheffer and F. Stephan, The VC-dimension of Subclasses of Pattern Languages, in “Proc. 10th International Conference on Algorithmic Learning Theory,” (O. Watanabe and T. ), Lecture Notes in Artificial Intelligence, Vol. 1720, pp. 93–105, Springer-Verlag, Berlin, 1999. 26. S. Miyano, A. Shinohara and T. Shinohara, Polynomial-time learning of elementary formal systems, New Generation Computing, 18:217–242, 2000. 27. S. Muggleton, Bayesian Inductive Logic Programming, in “Proc.

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