38 search results - page 1 / 8 » On The Optimal Working Set Size in Serial and Parallel Suppo... |
AUSDM
2006
Springer
13 years 8 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...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
PVM
2005
Springer
13 years 9 months ago
2005
Springer
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...
ALT
2004
Springer
14 years 1 months ago
2004
Springer
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
BMCBI
2006
13 years 4 months ago
2006
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...