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pro vyhledávání: '"Schapire, Rob"'
This paper discusses the application of L1-regularized maximum entropy modeling or SL1-Max [9] to multiclass categorization problems. A new modification to the SL1-Max fast sequential learning algorithm is proposed to handle conditional distributions
Externí odkaz:
http://arxiv.org/abs/cs/0506101
We study maximum entropy correlated equilibria in (multi-player)games and provide two gradient-based algorithms that are guaranteedto converge to such equilibria. Although we do not provideconvergence rates for these algorithms, they do have strong c
Externí odkaz:
http://hdl.handle.net/1721.1/31339