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2006

Evolino for recurrent support vector machines

11 years 1 months ago
Evolino for recurrent support vector machines
Abstract. We introduce a new class of recurrent, truly sequential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of systems with KErnel-based outputs (Evoke), an instance of the recent Evolino class of methods. Evoke evolves recurrent networks to detect and represent temporal dependencies while using SVM to produce precise outputs. Evoke is the first SVM-based mechanism learning to classify a context-sensitive language. It also outperforms recent state-of-the-art gradient-based recurrent neural networks (RNNs) on various time series prediction tasks.
Jürgen Schmidhuber, Matteo Gagliolo, Daan Wie
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2006
Where ESANN
Authors Jürgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez
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