Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer

Support vector machines are classification algorithms that have been successfully applied to problems in many different areas. Re- cently, evolutionary algorithms have been used to train support vector machines, which proved particularly useful in some multi-objective for- mulations and when indefin...

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Bibliographic Details
Main Author: Silva, Arlindo (author)
Other Authors: Ana, neves (author), Gonçalves, Teresa (author)
Format: article
Language:eng
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10174/10360
Country:Portugal
Oai:oai:dspace.uevora.pt:10174/10360