Multi-Objective Machine Learning
Publication year: 2006
ISBN: 978-3-540-33019-6
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This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.
Subject: Engineering, Support Vector Machine, decision tree, evolution, fuzzy, fuzzy system, fuzzy systems, genetic algorithms, intelligent systems, learning, machine learning, model, multi-objective optimization, neural network, neural networks, optimization
