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Introduction to machine learning

Author: Yves Kodratoff
Publisher: London : Pitman, 1988.
Edition/Format:   Print book : EnglishView all editions and formats

A description of the state of the art in machine learning (ML) which includes exercises and examples designed to give the reader a firm grasp of the concepts and techniques of the subject. The  Read more...


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Document Type: Book
All Authors / Contributors: Yves Kodratoff
ISBN: 0273087967 9780273087960
OCLC Number: 263214436
Description: 298 S. : Ill
Contents: Why machine learning and AI?; theoretical foundations for machine learning; representation of complex knowledge by clauses; representation of knowledge about actions; learning by doing - LEX, SAGE; the version spaces - a formal presentation; explanation-based learning - Mitchell's and DeJong's views of EBL; empirical learning by detection of similarities - a detailed example of Michalski's approach; rational learning by similarity detection - the "rational" approach; automatic construction of taxonomies; debugging and deep understanding; learning by analogy - Winston's approach to learning by analogy. Appendices: theoretical grounds of the equivalence between theorems and clauses - Herbrand's universe of a set of clauses, skolemization, semantic trees; synthesis of predicates - the role of program synthesis in ML, program synthesis from input-output sequences; ML in context - epistemological and social issues.
Other Titles: Leçons d'apprentissage symbolique automatique.
Responsibility: Yves Kodratoff.


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