Titlebook: Algorithmic Learning Theory; 15th International C Shoham Ben-David,John Case,Akira Maruoka Conference proceedings 2004 Springer-Verlag Berl

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Der Bologna-Prozess als Politiknetzwerk series of our works concerning with the string pattern discovery. It includes theoretical analyses of learnabilities of some pattern classes, as well as development of practical data structures which support efficient string processing.

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https://doi.org/10.1007/978-3-658-05277-5 intelligence: the integration of probabilistic reasoning with first order logic representations and machine learning. A rich variety of different formalisms and learning techniques have been developed. In the present paper, we start from inductive logic programming and sketch how it can be extended

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Gerold Ambrosius,Hartmut Kaelblerecently have we begun to attempt to achieve all three at once. In this talk, I describe Markov logic, a representation that combines the full power of first-order logic and probabilistic graphical models, and algorithms for learning and inference in it. Syntactically, Markov logic is first-order lo

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Algorithmic Learning Theory978-3-540-30215-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Der Bologna-Prozess als Politiknetzwerk series of our works concerning with the string pattern discovery. It includes theoretical analyses of learnabilities of some pattern classes, as well as development of practical data structures which support efficient string processing.

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Gerold Ambrosius,Hartmut Kaelbletion. Methods using the minimum description length principle are given for fitting such models to training data. Possible applications of the models are delineated, and some preliminary analysis results on real sets of haplotypes are reported, demonstrating the potential of our methods.

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