328 search results - page 2 / 66 » Parallel Decomposition Approaches for Training Support Vecto... |
ICML
2006
IEEE
14 years 7 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...
PKDD
2009
Springer
14 years 24 days ago
2009
Springer
AUSDM
2006
Springer
13 years 10 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...
ESANN
2000
13 years 7 months ago
2000
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal ...