Incremental continuous ant colony optimization technique for support vector machine model selection problem
Ant Colony Optimization has been used to solve Support Vector Machine model selection problem.Ant Colony Optimization originally deals with discrete optimization problem. In applying Ant Colony Optimization for optimizing Support Vector Machine parameters which are continuous variables, there is a n...
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| Formato: | Conference or Workshop Item |
| Idioma: | English |
| Publicado em: |
2012
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| Acesso em linha: | https://repo.uum.edu.my/id/eprint/6967/1/P12_-_AMATHI_2012.pdf |
| _version_ | 1825802045353885696 |
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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 | Ant Colony Optimization has been used to solve Support Vector Machine model selection problem.Ant Colony Optimization originally deals with discrete optimization problem. In applying Ant Colony Optimization for optimizing Support Vector Machine parameters which are continuous variables, there is a need to discretize the continuously value into discrete value.This discretize process would result in loss of some information and hence affect the classification accuracy and seeking time. This study proposes an algorithm that can optimize Support Vector Machine parameters using Incremental Continuous Ant Colony
Optimization without the need to discretize continuous value for support vector machine parameters.Seven datasets from UCI were used to evaluate the credibility of the proposed hybrid algorithmin terms of classification accuracy.Promising results were obtained when compared to grid search technique. |
| first_indexed | 2024-07-04T05:32:08Z |
| format | Conference or Workshop Item |
| id | uum-6967 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:32:08Z |
| publishDate | 2012 |
| record_format | eprints |
| spelling | uum-69672013-12-24T02:15:18Z https://repo.uum.edu.my/id/eprint/6967/ Incremental continuous ant colony optimization technique for support vector machine model selection problem Alwan, Hiba Basim Ku-Mahamud, Ku Ruhana T Technology (General) Ant Colony Optimization has been used to solve Support Vector Machine model selection problem.Ant Colony Optimization originally deals with discrete optimization problem. In applying Ant Colony Optimization for optimizing Support Vector Machine parameters which are continuous variables, there is a need to discretize the continuously value into discrete value.This discretize process would result in loss of some information and hence affect the classification accuracy and seeking time. This study proposes an algorithm that can optimize Support Vector Machine parameters using Incremental Continuous Ant Colony Optimization without the need to discretize continuous value for support vector machine parameters.Seven datasets from UCI were used to evaluate the credibility of the proposed hybrid algorithmin terms of classification accuracy.Promising results were obtained when compared to grid search technique. 2012-12-29 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/6967/1/P12_-_AMATHI_2012.pdf Alwan, Hiba Basim and Ku-Mahamud, Ku Ruhana (2012) Incremental continuous ant colony optimization technique for support vector machine model selection problem. In: 3rd International Conference on Applied Mathematics and Informatics, 29-31 December 2012, Montreux, Switzerland. |
| spellingShingle | T Technology (General) Alwan, Hiba Basim Ku-Mahamud, Ku Ruhana Incremental continuous ant colony optimization technique for support vector machine model selection problem |
| title | Incremental continuous ant colony optimization technique for
support vector machine model selection problem |
| title_full | Incremental continuous ant colony optimization technique for
support vector machine model selection problem |
| title_fullStr | Incremental continuous ant colony optimization technique for
support vector machine model selection problem |
| title_full_unstemmed | Incremental continuous ant colony optimization technique for
support vector machine model selection problem |
| title_short | Incremental continuous ant colony optimization technique for
support vector machine model selection problem |
| title_sort | incremental continuous ant colony optimization technique for support vector machine model selection problem |
| topic | T Technology (General) |
| url | https://repo.uum.edu.my/id/eprint/6967/1/P12_-_AMATHI_2012.pdf |
| work_keys_str_mv | AT alwanhibabasim incrementalcontinuousantcolonyoptimizationtechniqueforsupportvectormachinemodelselectionproblem AT kumahamudkuruhana incrementalcontinuousantcolonyoptimizationtechniqueforsupportvectormachinemodelselectionproblem |