Algorithmic Learning Theory - ALT '92 : Third Workshop, ALT '92, Tokyo, Japan, October 20-22, 1992. Proceedings

Shuji Doshita

ISBN 10: 3540573690 / ISBN 13: 9783540573692

Verlag: Springer Berlin Heidelberg, 1993

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - This volume contains the papers that were presented at theThird Workshop onAlgorithmic Learning Theory, held in Tokyoin October 1992. In addition to 3invited papers, the volumecontains 19 papers accepted for presentation, selected from29 submitted extended abstracts. The ALT workshops have beenheld annually since 1990 and are organized and sponsored bythe Japanese Society for Artificial Intelligence. The mainobjective of these workshops is to provide an open forum fordiscussions and exchanges of ideasbetween researchers fromvarious backgrounds in this emerging, interdisciplinaryfield of learning theory. The volume is organized into partson learning via query, neural networks, inductive inference,analogical reasoning, and approximate learning.

Bestandsnummer des Verkäufers 9783540573692

Bibliografische Details

• Titel: Algorithmic Learning Theory - ALT '92 : Third Workshop, ALT '92, Tokyo, Japan, October 20-22, 1992. Proceedings
• Verlag: Springer Berlin Heidelberg
• Erscheinungsjahr: 1993
• Sprache: Englisch
• ISBN-10: 3540573690
• ISBN-13: 9783540573692
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 235B x 155 H x 16 T Millimeter Breite: 235 mm, Höhe: 155 mm, Tiefe: 16 mm
• Gewicht: 423 Gramm

Über diesen Titel

Inhaltsangabe

This volume contains the papers that were presented at the Third Workshop onAlgorithmic Learning Theory, held in Tokyo in October 1992. In addition to 3invited papers, the volume contains 19 papers accepted for presentation, selected from 29 submitted extended abstracts. The ALT workshops have been held annually since 1990 and are organized and sponsored by the Japanese Society for Artificial Intelligence. The main objective of these workshops is to provide an open forum for discussions and exchanges of ideasbetween researchers from various backgrounds in this emerging, interdisciplinary field of learning theory. The volume is organized into parts on learning via query, neural networks, inductive inference, analogical reasoning, and approximate learning.