434 search results - page 32 / 87 » Large-Scale Support Vector Learning with Structural Kernels |
155
Voted
SCHOLARPEDIA
2008
15 years 1 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
135
Voted
WCE
2007
15 years 3 months ago
2007
– In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
97
Voted
NIPS
2003
15 years 4 months ago
2003
A recent area of significant progress in speaker recognition is the use of high level features—idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not on...
97
Voted
JCP
2006
15 years 2 months ago
2006
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
133
Voted
CORR
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...