979 search results - page 54 / 196 » Learning with Progressive Transductive Support Vector Machin... |
133
click to vote
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...
152
click to vote
ISIWI
2000
15 years 3 months ago
2000
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
110
click to vote
NCA
2010
IEEE
15 years 26 days ago
2010
IEEE
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
109
Voted
JMLR
2010
14 years 9 months ago
2010
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic fun...
114
click to vote
ICML
1999
IEEE
16 years 3 months ago
1999
IEEE
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...