Šarūnas Raudys

Small sample size effects in statistical pattern recognition: recommendations for practitioners

The effects of sample size on feature selection and error estimation for several types of classifiers are discussed. The focus is on the two-class problem. Classifier design in ...

Expected classification error of the Fisher linear classifier with pseudo-inverse covariance matrix

On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition

This paper compares four classification algorithms-discriminant functions when classifying individuals into two multivariate populations. The discriminant functions (DF's) compa...

Evolution and generalization of a single neurone: I. Single-layer perceptron as seven statistical classifiers