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Found 2 papers, 1 papers with code
Estimating Feature-Label Dependence Using Gini Distance Statistics
Uniform convergence bounds and asymptotic bounds are derived for the test statistics.
Robust and Efficient Boosting Method using the Conditional Risk
(2) It introduces a "trustworthiness" measure on training samples via the Bayesian risk rule, and hence the resulting classifier tends to have finite sample performance that is superior to that of the original AdaBoost when there is a large overlap between class conditional distributions.
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