27 search results - page 4 / 6 » Gene prediction in metagenomic fragments: A large scale mach... |
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
BMCBI
2006
13 years 5 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
MLMI
2004
Springer
13 years 10 months ago
2004
Springer
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...
LWA
2004
13 years 6 months ago
2004
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...