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: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/11963/1/PID25.pdf |
| _version_ | 1825802924262948864 |
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| author | Alwan, Hiba Basim Ku-Mahamud, Ku Ruhana |
| author_facet | Alwan, Hiba Basim Ku-Mahamud, Ku Ruhana |
| author_sort | Alwan, Hiba Basim |
| collection | UUM |
| description | 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 SVM parameters must occur simultaneously,because these processes affect each ot her which in turn will affect the SVM performance.Thus producing unacceptable classification accuracy.Five datasets from UCI were used to evaluate the proposed algorithm.Results
showed that the proposed algorithm can enhance the classification accuracy with
the small size of features subset. |
| first_indexed | 2024-07-04T05:48:34Z |
| format | Conference or Workshop Item |
| id | uum-11963 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:48:34Z |
| publishDate | 2013 |
| record_format | eprints |
| spelling | uum-119632015-04-08T02:04:54Z https://repo.uum.edu.my/id/eprint/11963/ Mixed variable ant colony optimization technique for feature subset selection and model selection Alwan, Hiba Basim Ku-Mahamud, Ku Ruhana QA76 Computer software 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 SVM parameters must occur simultaneously,because these processes affect each ot her which in turn will affect the SVM performance.Thus producing unacceptable classification accuracy.Five datasets from UCI were used to evaluate the proposed algorithm.Results showed that the proposed algorithm can enhance the classification accuracy with the small size of features subset. 2013 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/11963/1/PID25.pdf Alwan, Hiba Basim and Ku-Mahamud, Ku Ruhana (2013) Mixed variable ant colony optimization technique for feature subset selection and model selection. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia. http://www.icoci.cms.net.my |
| spellingShingle | QA76 Computer software Alwan, Hiba Basim Ku-Mahamud, Ku Ruhana Mixed variable ant colony optimization technique for feature subset selection and model selection |
| title | Mixed variable ant colony optimization technique for feature subset selection and model selection |
| title_full | Mixed variable ant colony optimization technique for feature subset selection and model selection |
| title_fullStr | Mixed variable ant colony optimization technique for feature subset selection and model selection |
| title_full_unstemmed | Mixed variable ant colony optimization technique for feature subset selection and model selection |
| title_short | Mixed variable ant colony optimization technique for feature subset selection and model selection |
| title_sort | mixed variable ant colony optimization technique for feature subset selection and model selection |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/11963/1/PID25.pdf |
| work_keys_str_mv | AT alwanhibabasim mixedvariableantcolonyoptimizationtechniqueforfeaturesubsetselectionandmodelselection AT kumahamudkuruhana mixedvariableantcolonyoptimizationtechniqueforfeaturesubsetselectionandmodelselection |