Feature Selection for Support Vector Machines Using Genetic Algorithms

The problem of feature selection is a difficult combinatorial task in Machine Learning and of high practical relevance, e.g. in bioinformatics. Genetic Algorithms (GAs) offer a natural way to solve...

[1]  Ron Kohavi,et al.  Wrappers for Feature Subset Selection , 1997, Artif. Intell..

[2]  Jason Weston,et al.  Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.

[3]  Haleh Vafaie,et al.  Evolutionary Feature Space Transformation , 1998 .

[4]  Sayan Mukherjee,et al.  Choosing Multiple Parameters for Support Vector Machines , 2002, Machine Learning.

[5]  Igor Kononenko,et al.  Attribute selection for modelling , 1997, Future Gener. Comput. Syst..

[6]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.