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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This is a preview. Log in through your library . Abstract A classification problem is presented in which it is desired to assign a new individual or observation with k characteristics to one of two ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. A new year begins, and a new page opens for software development. Companies worldwide have ...