2556 search results - page 230 / 512 » Clustering processes |
180
click to vote
ECML
2006
Springer
15 years 10 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
238
click to vote
EUSFLAT
2009
15 years 4 months ago
2009
Connectivity analysis methodology is suitable to find representative symptoms of a disease. This methodology describes connections between symptoms in particular way and then choos...
196
click to vote
BMCBI
2005
15 years 6 months ago
2005
Background: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to ...
207
click to vote
CIKM
2010
Springer
15 years 4 months ago
2010
Springer
A major component of many cloud services is query processing on data stored in the underlying cloud cluster. The traditional techniques for query processing on a cluster are those...
194
click to vote
ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...