545 search results - page 48 / 109 » Support Vector Regression Using Mahalanobis Kernels |
BIBE
2007
IEEE
14 years 3 months ago
2007
IEEE
—Interactions between transcription factors (TFs) are necessary for deciphering the complex mechanisms of transcription regulation in eukaryotes. In this paper, we proposed a nov...
CIBB
2008
13 years 11 months ago
2008
Abstract. We evaluated methods of protein classification that use kernels built from BLAST output parameters. Protein sequences were represented as vectors of parameters (e.g. simi...
TNN
2008
13 years 8 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
CORR
2008
Springer
13 years 9 months ago
2008
Springer
Graph kernels methods are based on an implicit embedding of graphs within a vector space of large dimension. This implicit embedding allows to apply to graphs methods which where u...
NAACL
2010
13 years 6 months ago
2010
We present a new method that compresses sentences by removing words. In a first stage, it generates candidate compressions by removing branches from the source sentence's dep...