Dr. Sekeh Research Published germane to Machine Learning and Information Theory - School of Computing and Information Science

Dr. Salimeh Yasaei Sekeh is lead author on a research article recently published in the journal Entropy titled Convergence Rates for Empirical Estimation of Binary Classification Bounds. Abstract Bounding the best achievable error probability for binary classification problems is relevant to many applications including machine learning, signal processing, and information theory. Many bounds on the read more