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 ...

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 ...

Findings by Hopkins researchers suggest that all humans are equipped with the foundation needed to learn programming ...

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 ...

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Introduction to Lisp and programming knowledge-based systems and interfaces. Strong emphasis on writing maintainable, extensible systems. Topics include: semantic networks, frames, pattern matching, ...