209 search results - page 12 / 42 » Kernel design for RNA classification using Support Vector Ma... |
134
Voted
ML
2002
ACM
15 years 2 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
125
Voted
EUROMICRO
2003
IEEE
15 years 8 months ago
2003
IEEE
This paper pertains to the recognition of textural regions for color video analysis. The proposed scheme uses the covariance of 2nd -order statistics on the wavelet domain, betwee...
120
Voted
ISBI
2008
IEEE
16 years 3 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, ...
141
Voted
ECML
2006
Springer
15 years 6 months ago
2006
Springer
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning. In particular, we propose a new convolution kerne...
125
Voted
ICIP
2009
IEEE
15 years 16 days ago
2009
IEEE
Kernel-based methods, e.g., support vector machine (SVM), produce high classification performances. However, the computation becomes time-consuming as the number of the vectors su...