1416 search results - page 92 / 284 » Optimal feature selection for support vector machines |
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
Support Vector Regression (SVR) has been a long standing problem in machine learning, and gains its popularity on various computer vision tasks. In this paper, we propose a structu...
SCHOLARPEDIA
2008
13 years 6 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
PROMISE
2010
13 years 2 months ago
2010
Background. Recent studies have shown that Support Vector Regression (SVR) has an interesting potential in the field of effort estimation. However applying SVR requires to careful...
AHS
2007
IEEE
14 years 2 months ago
2007
IEEE
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...