<title>Nonparametric Bayes error estimation for HRR target identification</title>
Abstract
A neural network approach to obtaining upper and lower bounds on the Bayes error rate for pattern recognition problems is presented. The approach is developed using the key concept of resubstitution and leave-one-out testing from conventional nonparametric error estimation techniques. The neural network approach is evaluated by applying it to several 8D, two-class `toy' problems, where the Bayes error rate is known. The neural network error...
Paper Details
Title
<title>Nonparametric Bayes error estimation for HRR target identification</title>
Published Date
Mar 2, 1994
Journal
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