Multiobjective optimization of classifiers by means of 3-D convex Hull based evolutionary algorithms

The receiver operating characteristic (ROC) and detection error tradeoff (DET) curves are frequently used in the machine learning community to analyze the performance of binary classifiers. Recently, the convex-hull-based multiobjective genetic programming algorithm was proposed and successfully app...

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Bibliographic Details
Main Author: Zhao, J. (author)
Other Authors: Basto-Fernandes, V. (author), Jiao, L. (author), Yevseyeva, I. (author), Maulana, A. (author), Li, R. (author), Bäck, T. (author), Tang, K. (author), Emmerichd, M. T. M. (author)
Format: article
Language:eng
Published: 2017
Subjects:
Convex hull
Classification
Evolutionary multiobjective optimization
Parsimony
ROC analysis
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Online Access:http://hdl.handle.net/10071/12775
Country:Portugal
Oai:oai:repositorio.iscte-iul.pt:10071/12775

Internet

http://hdl.handle.net/10071/12775

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