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PAC-Bayesian Learning of Linear Classifiers
Mario Marchand
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Oznake: computer science;machine learning;linear models;bayesian learning
We present a general PAC-Bayes theorem from which all known PAC-Bayes bounds are simply obtained as particular cases. We also propose different learning algorithms for finding linear classifiers that minimize these PAC-Bayes risk bounds. These learning algorithms are generally competitive with both ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 1
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