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cs.IT2018
Convergence Rates for Empirical Estimation of Binary Classification Bounds
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon +1
Bounding the best achievable error probability for binary classification problems is relevant to many applications including machine learning, signal processing, and information th…
cs.IT2018
Scalable Hash-Based Estimation of Divergence Measures
Morteza Noshad, Alfred O. Hero
We propose a scalable divergence estimation method based on hashing. Consider two continuous random variables and whose densities have bounded support. We consider a partic…