Generalization Error of Randomized Linear Zero Empirical Error Classifier: Simple Asymptotics for Centered Data Case

An estimation of the generalization performance of classifier is one of most important problems in pattern clasification and neural network training theory. In this paper we estimate the generalization error (mean expected probability of classification) for randomized linear zero empirical error (RLZEE) classifier which was considered by Raudys, Dici

• Type: Journal
• Year: 2000
• Where: INFORMATICALT
• Authors: Valdas Diciunas, Sarunas Raudys
• Keywords: Gaussian Classes, Generalization Error, Generalization Performance, INFORMATICALT 2000