Mixed variable ant colony optimization technique for feature subset selection and model selection
This paper presents the integration of Mixed Variable Ant Colony Optimization and Support Vector Machine (SVM) to enhance the performance of SVM through simultaneously tuning its parameters and selecting a small number of features.The process of selecting a suitable feature subset and optimizing SV...
Main Authors: | Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/11963/1/PID25.pdf |
Similar Items
-
Mixed-variable ant colony optimisation algorithm for feature subset selection and tuning support vector machine parameter
by: Alwan, Hiba Basim, et al.
Published: (2017) -
Optimizing support vector machine parameters using continuous ant colony optimization
by: Alwan, Hiba Basim, et al.
Published: (2012) -
Solving SVM model selection problem using ACOR and IACOR
by: Alwan, Hiba Basim, et al.
Published: (2013) -
Ant colony optimization for rule induction with simulated annealing for terms selection
by: Saian, Rizauddin, et al.
Published: (2012) -
An exploration technique for the interacted multiple ant colonies optimization framework
by: Aljanaby, Alaa, et al.
Published: (2010)