259 search results - page 43 / 52 » Application of Semi-supervised Learning to Evaluative Expres... |
108
Voted
ML
2002
ACM
14 years 11 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...
107
Voted
BIBM
2007
IEEE
15 years 3 months ago
2007
IEEE
The tridimensional structure of a protein is constrained or stabilized by some local interactions between distant residues of the protein, such as disulfide bonds, electrostatic i...
115
Voted
BMCBI
2011
14 years 3 months ago
2011
Background: The identification of drug characteristics is a clinically important task, but it requires much expert knowledge and consumes substantial resources. We have developed ...
91
Voted
ILP
2005
Springer
15 years 5 months ago
2005
Springer
Clustering is a fundamental task in Spatial Data Mining where data consists of observations for a site (e.g. areal units) descriptive of one or more (spatial) primary units, possib...
KDD
2007
ACM
16 years 2 days ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...