TY - GEN
T1 - Adaptive on-line learning in changing environments
AU - Murata, Noboru
AU - Müller, Klaus Robert
AU - Ziehe, Andreas
AU - Amari, Shun Ichi
PY - 1997
Y1 - 1997
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:84898987101
SN - 0262100657
SN - 9780262100656
T3 - Advances in Neural Information Processing Systems
SP - 599
EP - 605
BT - Advances in Neural Information Processing Systems 9 - Proceedings of the 1996 Conference, NIPS 1996
PB - Neural information processing systems foundation
T2 - 10th Annual Conference on Neural Information Processing Systems, NIPS 1996
Y2 - 2 December 1996 through 5 December 1996
ER -