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 ...

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, ...

CATALOG DESCRIPTION: CS 211 teaches foundational software design skills at a small-to-medium scale. We aim to provide a bridge from the student-oriented How to Design Programs languages to real, ...