fertilizer
发表于 2025-3-25 06:30:26
PAC-Bayesian TheoryThe PAC-Bayesian framework is a frequentist approach to machine learning which encodes learner bias as a “prior probability” over hypotheses. This chapter reviews basic PAC-Bayesian theory, including Catoni’s basic inequality and Catoni’s localization theorem.
entitle
发表于 2025-3-25 09:43:52
978-3-662-52511-1Springer-Verlag Berlin Heidelberg 2013
transplantation
发表于 2025-3-25 15:01:50
Bernhard Schölkopf,Zhiyuan Luo,Vladimir VovkHonours one of the pioneers of machine learning.Contributing authors are among the leading authorities in these domains.Of interest to researchers and engineers in the fields of machine learning, stat
阐明
发表于 2025-3-25 17:23:54
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石墨
发表于 2025-3-25 23:02:09
Sonnenbad, Schlaf und Rhythmus,te of Control Sciences of the Russian Academy of Sciences, Moscow, Russia) in the framework of the “Generalised Portrait Method” for computer learning and pattern recognition. The development of these ideas started in 1962 and they were first published in 1964.
esoteric
发表于 2025-3-26 03:21:20
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现实
发表于 2025-3-26 08:21:47
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GRAIN
发表于 2025-3-26 11:43:55
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处理
发表于 2025-3-26 16:30:43
Die Zelle als metabolisches System,d simple estimators of the minimum mean squared error Mean squared error—(Minimum mean squared error—(., and prove their strong consistenciesConsistency—(. We bound the rate of convergenceRate of convergence, too.
consolidate
发表于 2025-3-26 20:41:08
Early History of Support Vector Machineste of Control Sciences of the Russian Academy of Sciences, Moscow, Russia) in the framework of the “Generalised Portrait Method” for computer learning and pattern recognition. The development of these ideas started in 1962 and they were first published in 1964.