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Multi-Objective Machine Learning

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Multi-Objective Machine Learning - Jin, Yaochu (Editor)
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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 ...

Multi-Objective Machine Learning 2010, Springer-Verlag Berlin and Heidelberg GmbH & Co. K, Berlin

ISBN-13: 9783642067969

Paperback

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Multi-Objective Machine Learning 2006, Springer, Berlin, Germany

ISBN-13: 9783540306764

2006 edition

Hardcover

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