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 ...

This is a preview. Log in through your library . Abstract The present study investigates whether the ability to classify on the basis of rules can be learned independently of memory for the specific ...

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 ...