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cs.LG2022
Fundamental Laws of Binary Classification
Denise M. Reeves
Finding discriminant functions of minimum risk binary classification systems is a novel geometric locus problem -- which requires solving a system of fundamental locus equations of…
cs.LG2016
Design of Data-Driven Mathematical Laws for Optimal Statistical Classification Systems
Denise M. Reeves
This article will devise data-driven, mathematical laws that generate optimal, statistical classification systems which achieve minimum error rates for data distributions with unch…
cs.LG2015★ 1 cited
Resolving the Geometric Locus Dilemma for Support Vector Learning Machines
Denise M. Reeves
Capacity control, the bias/variance dilemma, and learning unknown functions from data, are all concerned with identifying effective and consistent fits of unknown geometric loci to…