Large Scale Online Learning

Part of Advances in Neural Information Processing Systems 16 (NIPS 2003)

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Léon Bottou, Yann Cun


We consider situations where training data is abundant and computing resources are comparatively scarce. We argue that suitably designed on- line learning algorithms asymptotically outperform any batch learning algorithm. Both theoretical and experimental evidences are presented.