Logic and Learning: Learning Comprehensible Theories from Structured Data - Rilegato

Libro 31 di 42: Cognitive Technologies

Lloyd, J. W.

 
9783540420279: Logic and Learning: Learning Comprehensible Theories from Structured Data

Sinossi

This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. For those interested in computational logic, it provides a framework for knowledge representation and computation based on higher-order logic, and demonstrates its advantages over more standard approaches based on first-order logic. For those interested in machine learning, the book explains how higher-order logic provides suitable knowledge representation formalisms and hypothesis languages for machine learning applications.

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Recensione

From the reviews of the third edition:

"John has tried his hand at machine learning, and his aim in Logic for Learning is to demonstrate ‘the rich and fruitful interplay between the fields of computational logic and machine learning’. ... As such, the book is more geared towards computational logicians who are interested in machine learning ... . The book can also be used as a textbook in a mathematically oriented advanced graduate course. ... it is indeed great stuff, which deserves to be taken serious by any computational logician ... ." (Peter Flach, TLP – Theory and Practice of Logic Programming, Issue 4, 2004)

From the reviews:

"This book provides a systematic approach to knowledge representation, computation, and learning using higher-order logic. It is aimed at researchers, graduate students, and senior undergraduates working in computational logic and/or machine learning." (PHINEWS, Vol. 3, April, 2003)

Contenuti

1. Introduction.- 2. Logic.- 3. Individuals.- 4. Predicates.- 5. Computation.- 6. Learning.- A. Appendix.- A.1 Well-Founded Sets.- References.- Notation.

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Altre edizioni note dello stesso titolo

9783642075537: Logic for Learning: Learning Comprehensible Theories from Structured Data

Edizione in evidenza

ISBN 10:  3642075533 ISBN 13:  9783642075537
Casa editrice: Springer, 2010
Brossura