545 search results - page 45 / 109 » Support Vector Regression Using Mahalanobis Kernels |
FSS
2007
13 years 8 months ago
2007
The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for ...
NIPS
2003
13 years 10 months ago
2003
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
ICPR
2002
IEEE
14 years 10 months ago
2002
IEEE
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
We propose a new stopping condition for a Support Vector Machine (SVM) solver which precisely reflects the objective of the Leave-OneOut error computation. The stopping condition ...
ISBI
2008
IEEE
14 years 9 months ago
2008
IEEE
The Support Vector Machine (SVM) is a powerful tool for classification. We generalize SVM to work with data objects that are naturally understood to be lying on curved manifolds, ...