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Achieving All with No Parameters: Adaptive NormalHedge
Haipeng Luo
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Oznake: computer science;machine learning;active learning;computational learning theory;on-line learning;reinforcement learning;semi-supervised learning
We study the classic online learning problem of predicting with expert advice, and propose a truly parameter-free and adaptive algorithm that achieves several objectives simultaneously without using any prior information. The main component of this work is an improved version of the NormalHedge.DT a ...
Leto: 2015 Vir: videolectures.net
Št. zadetkov: 1
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