Computational Models of Learning

Leonard Bolc

ISBN 10: 3642827446 / ISBN 13: 9783642827440

Edité par Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2011, 2011

A propos de cet article

This item is printed on demand - Print on Demand Titel. Neuware -In recent years, machine learning has emerged as a significant area of research in artificial intelligence and cognitive science. At present, research in the field is being intensified from both the point of view of theory and of implementation, and the results are being introduced in practice. Machine learning has recently become the subject of interest of many young and talented scientists whose bold ideas have greatly contributed to the broadening of knowledge in this rapidly developing field of science. This situation has manifested itself in an increasing number of valuable contributions to scientific journals. However, such papers are necessarily compact descriptions of research problems. Computational Models of Learning supplements these contributions and is a collection of more extensive essays. These essays provide the reader with an increased knowledge of carefully selected problems of machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 224 pp. Englisch.

N° de réf. du vendeur 9783642827440

Détails bibliographiques

• Titre: Computational Models of Learning
• Éditeur: Springer Berlin Heidelberg, Springer Berlin Heidelberg Dez 2011
• Date de parution: 2011
• Langue: anglais
• ISBN à 10 chiffres: 3642827446
• ISBN à 13 chiffres: 9783642827440
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

In recent years, machine learning has emerged as a significant area of research in artificial intelligence and cognitive science. At present, research in the field is being intensified from both the point of view of theory and of implementation, and the results are being introduced in practice. Machine learning has recently become the subject of interest of many young and talented scientists whose bold ideas have greatly contributed to the broadening of knowledge in this rapidly developing field of science. This situation has manifested itself in an increasing number of valuable contributions to scientific journals. However, such papers are necessarily compact descriptions of research problems. Computational Models of Learning supplements these contributions and is a collection of more extensive essays. These essays provide the reader with an increased knowledge of carefully selected problems of machine learning.