9 citations · 34 across the 27 of their papers we have counts for
3 papers · 1 filter
Learning to Bound the Multi-class Bayes Error
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero
In the context of supervised learning, meta learning uses features, metadata and other information to learn about the difficulty, behavior, or composition of the problem. Using thi…
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…
A Dimension-Independent discriminant between distributions
Salimeh Yasaei Sekeh, Brandon Oselio, Alfred O. Hero
Henze-Penrose divergence is a non-parametric divergence measure that can be used to estimate a bound on the Bayes error in a binary classification problem. In this paper, we show t…