CFP: Special issue on SVMs of the journal Computational Management Science

Topics include, but are not restricted to:

Theoretical foundations, algorithms, and implementations; Model selection; Choosing kernels for specific data sets; SVM algorithms for large scale data mining problems; Benchmarking SVMs against other methods; Feature selection for SVMs; Applications including, but not restricted to data mining, bioinformatics, management science, financial engineering, weather forecasting, e.t.c.

Guest Editors: Theodore B. Trafalis (ttrafalis@ou.edu), University of Oklahoma