Knowledge Representation and Organization in Machine Learning. Lecture Notes in Artificial Intelligence 347 (Edited by J. Siekmann)

Morik, K.:

ISBN 10: 354050768X / ISBN 13: 9783540507680

Published by Springer Berlin, 1989

About this Item

319 Seiten altersentsprechend gebrauchtes gutes Exemplar, Einband leicht berieben, Inhalt ist gut bis sehr gut erhalten, mit Widmung von der Autorin als Geschenk ha1006824 Sprache: Englisch Gewicht in Gramm: 650.

Seller Inventory # 108386

Bibliographic Details

• Title: Knowledge Representation and Organization in Machine Learning. Lecture Notes in Artificial Intelligence 347 (Edited by J. Siekmann)
• Publisher: Springer Berlin
• Publication Date: 1989
• Language: English
• ISBN 10: 354050768X
• ISBN 13: 9783540507680
• Binding: Kartoneinband 24x17
• Condition: Gut
• Weight: 650 grams
• Signed: Signed by Author(s)
• Seller catalogs:
  • Fremdsprachige Bücher

About this title

Synopsis

Machine learning has become a rapidly growing field of Artificial Intelligence. Since the First International Workshop on Machine Learning in 1980, the number of scientists working in the field has been increasing steadily. This situation allows for specialization within the field. There are two types of specialization: on subfields or, orthogonal to them, on special subjects of interest. This book follows the thematic orientation. It contains research papers, each of which throws light upon the relation between knowledge representation, knowledge acquisition and machine learning from a different angle. Building up appropriate representations is considered to be the main concern of knowledge acquisition for knowledge-based systems throughout the book. Here machine learning is presented as a tool for building up such representations. But machine learning itself also states new representational problems. This book gives an easy-to-understand insight into a new field with its problems and the solutions it offers. Thus it will be of good use to both experts and newcomers to the subject.