Adaptive On - line Learning in
نویسندگان
چکیده
An adaptive on-line algorithm extending the learning of learning idea is proposed and theoretically motivated. Relying only on gradient ow 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 eeciency is demonstrated for a non-stationary blind separation task of acoustic signals.
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تاریخ انتشار 1997