Multi-Objective Supervised Learning (book chapter)
Fieldsend, Jonathan E.; Everson, Richard M.
Date: 15 November 2007
Book chapter
Publisher
Springer
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Abstract
This chapter sets out a number of the popular areas in multiobjective supervised learning. It gives empirical examples of model complexity optimization and competing error terms, and presents the recent advances in multi-class receiver operating characteristic analysis enabled by multiobjective optimization. It concludes by highlighting ...
This chapter sets out a number of the popular areas in multiobjective supervised learning. It gives empirical examples of model complexity optimization and competing error terms, and presents the recent advances in multi-class receiver operating characteristic analysis enabled by multiobjective optimization. It concludes by highlighting some specific areas of interest/concern when dealing with multiobjective supervised learning problems, and sets out future areas of potential research.
Computer Science
Faculty of Environment, Science and Economy
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