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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 ...

A programming language structure wherein the data and their associated processing ("methods") are defined as self-contained entities called "objects." Becoming popular in the early 1990s and the norm ...

This is a preview. Log in through your library . Abstract Abstract.As duality is an important and interesting feature of optimization problems, in this paper, we continue the effort of Long and Huang ...