A simple learning algorithm for maximal margin classiΓΏers (also support vector machines with quadratic cost function) is proposed. We build our iterative algorithm on top of the Schlesinger-Kozinec algorithm (S-K-algorithm) from 1981 which ΓΏnds a maximal margin hyperplane with a given precision for
β¦ LIBER β¦
An efficient algorithm for maximal margin clustering
β Scribed by Jiming Peng; Lopamudra Mukherjee; Vikas Singh; Dale Schuurmans; Linli Xu
- Publisher
- Springer US
- Year
- 2011
- Tongue
- English
- Weight
- 331 KB
- Volume
- 52
- Category
- Article
- ISSN
- 0925-5001
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