Improved SVM Classifier Incorporating Adaptive Condensed Instances Based on Hybrid Continuous-Discrete Particle Swarm Optimization
In recent years, support vector machine (SVM) based on empirical risk minimization is supervised learning model which has been successfully used in the classification and regression. The standard soft-margin SVM trains a classifier by solving an optimization problem to decide which instances of the...
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| Format: | Article |
| Language: | English |
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Taiwan Association of Engineering and Technology Innovation
2016-09-01
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| Series: | Advances in Technology Innovation |
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| Online Access: | http://ojs.imeti.org/index.php/AITI/article/view/345 |