Multi-Objective Supervised Learning
Copyright © 2008 Springer-Verlag Berlin Heidelberg. The final publication is available at link.springer.com Book title: Multiobjective Problem Solving from Nature Extended version of the 2006 workshop paper presented at the Workshop on Multiobjective Problem-Solving from Nature, 9th International Co...
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| Format: | Book Part |
| Language: | English |
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Springer Berlin Heidelberg
2008
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| Online Access: | http://hdl.handle.net/10871/11569 https://doi.org/10.1007/978-3-540-72964-8_8 |
| Summary: | Copyright © 2008 Springer-Verlag Berlin Heidelberg. The final publication is available at link.springer.com Book title: Multiobjective Problem Solving from Nature Extended version of the 2006 workshop paper presented at the Workshop on Multiobjective Problem-Solving from Nature, 9th International Conference on Parallel Problem Solving from Nature (PPSN IX), Reykjavik, Iceland, 9-13 September 2006; see: http://hdl.handle.net/10871/11785 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. |
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