Adaptive on-line learning in changing environments

Noboru Murata, Klaus Robert Müller, Andreas Ziehe, Shun Ichi Amari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

41 Citations (Scopus)

Abstract

An adaptive on-line algorithm extending the learning of learning idea is proposed and theoretically motivated. Relying only on gradient flow information it can be applied to learning continuous functions or distributions, even when no explicit loss function is given and the Hessian is not available. Its efficiency is demonstrated for a non-stationary blind separation task of acoustic signals.

Original languageEnglish
Title of host publicationAdvances in Neural Information Processing Systems 9 - Proceedings of the 1996 Conference, NIPS 1996
PublisherNeural information processing systems foundation
Pages599-605
Number of pages7
ISBN (Print)0262100657, 9780262100656
Publication statusPublished - 1997 Jan 1
Externally publishedYes
Event10th Annual Conference on Neural Information Processing Systems, NIPS 1996 - Denver, CO, United States
Duration: 1996 Dec 21996 Dec 5

Publication series

NameAdvances in Neural Information Processing Systems
ISSN (Print)1049-5258

Conference

Conference10th Annual Conference on Neural Information Processing Systems, NIPS 1996
CountryUnited States
CityDenver, CO
Period96/12/296/12/5

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Signal Processing

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