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PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers.
François Laviolette
Mario Marchand
Published in:
J. Mach. Learn. Res. (2007)
Keyphrases
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pac bayes
risk bounds
data dependent
stochastic processes
empirical risk minimization
statistical learning theory
learning algorithm
vc dimension
sample size
random fields
probability distribution
generalization bounds
uniform convergence
decision theoretic
decision trees
parameter free
upper bound