| Autor: | Elmer G. Gilbert, S. Sathiya Keerthi |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Computer Science::Machine Learning
Computer science business.industry Machine learning computer.software_genre Support vector machine Svm classifier ComputingMethodologies_PATTERNRECOGNITION Artificial Intelligence Sequential minimal optimization Artificial intelligence business Classifier (UML) computer Software |
| Zdroj: | Machine Learning. 46:351-360 |
| ISSN: | 0885-6125 |
| Popis: | Convergence of a generalized version of the modified SMO algorithms given by Keerthi et al. for SVM classifier design is proved. The convergence results are also extended to modified SMO algorithms for solving ν-SVM classifier problems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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