A neural support vector machine
✍ Scribed by Magnus Jändel
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 515 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Crowdsourcing has been recognized as a possible technique to complement costly user studies, usability studies, relevance judgment for information retrieval studies, and training set build-up for automatic document classification. However, the quality of crowdworkers varies by diverse factors and we
The first-order second-moment method (FOSM) reliability analysis is commonly used for slope stability analysis. It requires the values and partial derivatives of the performance function with respect to the random variables for the design. Such calculations can be cumbersome when the performance fun
Based on the analysis of the conclusions in the statistical learning theory, especially the VC dimension of linear functions, linear programming support vector machines (or SVMs) are presented including linear programming linear and nonlinear SVMs. In linear programming SVMs, in order to improve the
Support vector machine (SVM) has been very successful in pattern recognition and function estimation problems. In this paper, we introduce the use of SVM for multivariate fuzzy linear and nonlinear regression models. Using the basic idea underlying SVM for multivariate fuzzy regressions gives comput