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OAA-SVM-MS: A fast and efficient multi-class classification algorithm.
- Source :
-
Neurocomputing . Sep2021, Vol. 454, p448-460. 13p. - Publication Year :
- 2021
-
Abstract
- This paper introduces the idea of learning uniformly ergodic Markov chain for one-against-all support vector machine (OAA-SVM) algorithm. We first obtain the generalization error of OAA-SVM with fast learning rate for uniformly ergodic Markov samples. We also propose a new OAA-SVM method with Markov sampling (OAA-SVM-MS). The experimental researches for benchmark repository confirm that the OAA-SVM-MS algorithm has significantly better performance in sampling and training total time, classification accuracy and the obtained classifier's sparsity compared to the classical OAA-SVM algorithm and other multi-class SVM algorithms. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 454
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 151266045
- Full Text :
- https://doi.org/10.1016/j.neucom.2021.04.115