3413 search results - page 16 / 683 » New Support Vector Algorithms |
PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
AUSDM
2006
Springer
15 years 1 months ago
2006
Springer
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
In the solution path algorithm of support vector regression, the penalty for violation of the required error is considered equally for every training sample, which means every tra...
NIPS
2007
14 years 11 months ago
2007
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
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ICASSP
2007
IEEE
15 years 4 months ago
2007
IEEE
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...