Multi Objective Machine Learning is popular PDF and ePub book, written by Yaochu Jin in 2007-06-10, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Multi Objective Machine Learning can be Read Online from any device for your convenience.
Multi Objective Machine Learning Book PDF Summary
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.
Detail Book of Multi Objective Machine Learning PDF
- Author : Yaochu Jin
- Release : 10 June 2007
- Publisher : Springer Science & Business Media
- ISBN : 9783540330196
- Genre : Technology & Engineering
- Total Page : 657 pages
- Language : English
- PDF File Size : 11,5 Mb
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