Maximum Margin One Class Support Vector Machines for multiclass problems
✍ Scribed by Mireille Tohmé; Régis Lengellé
- Book ID
- 113840251
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 338 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0167-8655
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
## Abstract The application of functional magnetic resonance imaging (fMRI) in neuroscience studies has increased enormously in the last decade. Although primarily used to map brain regions activated by specific stimuli, many studies have shown that fMRI can also be useful in identifying interactio
This letter proposes and analyzes a method (naq-estimate) to estimate the generalization performance of one-class support vector machine (SVM) for novelty detection. The method is an extended version of the na-estimate method, which is used to estimate the generalization performance of standard SVM