Large Scale Online Learning 论文
2003引用 337
Machine Learning and AlgorithmsNeural Networks and ApplicationsBlind Source Separation Techniques
摘要
We consider situations where training data is abundant and computing resources are comparatively scarce. We argue that suitably designed online learning algorithms asymptotically outperform any batch learning algorithm. Both theoretical and experimental evidences are presented. 1