Multi Objective Machine Learning
Download Multi Objective Machine Learning full books in PDF, epub, and Kindle. Read online free Multi Objective Machine Learning ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Multi-Objective Machine Learning
Author | : Yaochu Jin |
Publisher | : Springer Science & Business Media |
Total Pages | : 657 |
Release | : 2007-06-10 |
Genre | : Technology & Engineering |
ISBN | : 3540330194 |
Download Multi-Objective Machine Learning Book in PDF, Epub and Kindle
Recently, increasing interest has been shown in applying the concept of Pareto-optimality to machine learning, particularly inspired by the successful developments in evolutionary multi-objective optimization. It has been shown that the multi-objective approach to machine learning is particularly successful to improve the performance of the traditional single objective machine learning methods, to generate highly diverse multiple Pareto-optimal models for constructing ensembles models and, and to achieve a desired trade-off between accuracy and interpretability of neural networks or fuzzy systems. 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.
Multi-Objective Machine Learning Related Books
Pages: 657
Pages: 58
Pages: 631
Pages:
Pages: 174