Systems that learn: an introduction to learning theory for cognitive and computer scientists
Systems that learn: an introduction to learning theory for cognitive and computer scientists
Learnable classes of categorial grammars
Learnable classes of categorial grammars
Connected Sets of Types and Categorial Consequence
LACL '96 Selected papers from the First International Conference on Logical Aspects of Computational Linguistics
Rough Sets and Learning by Unification
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
From Unification Compactness to Learnability
Fundamenta Informaticae
Tarski's principle, categorial grammars and learnability
LATA'11 Proceedings of the 5th international conference on Language and automata theory and applications
Rough Sets and Learning by Unification
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
From Unification Compactness to Learnability
Fundamenta Informaticae
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In this paper we focus on the properties of infinite sets of types that have finite substitutional images. Since the number of such images may be infinite, we provide the way of its reduction. Having this done, we apply the new methods in the field of learnability of classical categorial grammars.