Logic for Learning : Learning Comprehensible Theories from Structured Data

Name: Logic for Learning
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642075537
Price: 8100 KES
Availability: OutOfStock
ISBN: 9783642075537

Softcover reprint of hardcover 1st ed. 2003

by John W. Lloyd

Book Details

Format Paperback / softback

Book Series Cognitive Technologies

ISBN-10 3642075533

ISBN-13 9783642075537

Edition Softcover reprint of hardcover 1st ed. 2003

Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K

Country of Manufacture GB

Country of Publication GB

Publication Date Oct 22nd, 2010

Print length 257 Pages

Weight 420 grams

Dimensions 15.80 x 23.40 x 1.80 cms

Product Classification: Information theory Algorithms & data structures Algorithms and data structures Mathematical theory of computation Artificial intelligence Artificial intelligence (AI)

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This book is concerned with the rich and fruitful interplay between the fields of computational logic and machine learning. For those in computational logic, no previous knowledge of machine learning is assumed and, for those in machine learning, no previous knowledge of computational logic is assumed.

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.

Get Logic for Learning by John W. Lloyd at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG and it has 257 pages.