Download the fantastic book titled Multi Objective Machine Learning written by Yaochu Jin, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Multi Objective Machine Learning", which was released on 10 June 2007. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Multi Objective Machine Learning by Yaochu Jin PDF
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 About Multi Objective Machine Learning PDF
- Author : Yaochu Jin
- Publisher : Springer Science & Business Media
- Genre : Technology & Engineering
- Total Pages : 657 pages
- ISBN : 3540330194
- Release Date : 10 June 2007
- PDF File Size : 46,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
Clicking on the GET BOOK button will initiate the downloading process of Multi Objective Machine Learning by Yaochu Jin. This book is available in ePub and PDF format with a single click unlimited downloads.
