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 ...

A student club at SEMO is providing students of all studies a space to explore AI and cloud computing outside of the ...

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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Westlake Senior Evan Yu believes that everyone should have the chance to learn computer science, and it was with that value in mind that he launched an online coding class for elementary and middle ...