Classification models can be developed by statistical or mathematical programming discriminant analysis techniques. Variable selection extensions of these techniques allow the development of ...

Set classification aims to classify a set of observations as a whole, as opposed to classifying individual observations separately. To formally understand the unfamiliar concept of binary set ...

Genetic programming (GP) has emerged as a potent evolutionary methodology for autonomously designing image classifiers and extracting relevant features. Its capacity to evolve interpretable models by ...

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