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» Multiple target detection using Bayesian learning
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BMCBI
2010
131views more  BMCBI 2010»
13 years 10 months ago
JISTIC: Identification of Significant Targets in Cancer
Background: Cancer is caused through a multistep process, in which a succession of genetic changes, each conferring a competitive advantage for growth and proliferation, leads to ...
Felix Sanchez-Garcia, Uri David Akavia, Eyal Mozes...
ICML
2001
IEEE
14 years 10 months ago
Bayesian approaches to failure prediction for disk drives
Hard disk drive failures are rare but are often costly. The ability to predict failures is important to consumers, drive manufacturers, and computer system manufacturers alike. In...
Greg Hamerly, Charles Elkan
BMCBI
2008
98views more  BMCBI 2008»
13 years 10 months ago
GBNet: Deciphering regulatory rules in the co-regulated genes using a Gibbs sampler enhanced Bayesian network approach
Background: Combinatorial regulation of transcription factors (TFs) is important in determining the complex gene expression patterns particularly in higher organisms. Deciphering ...
Li Shen, Jie Liu, Wei Wang
EVENT
2001
140views more  EVENT 2001»
13 years 11 months ago
Multimodal 3-D Tracking and Event Detection via the Particle Filter
Determining the occurrence of an event is fundamental to developing systems that can observe and react to them. Often, this determination is based on collecting video and/or audio...
Dmitry N. Zotkin, Ramani Duraiswami, Larry S. Davi...
PR
2002
269views more  PR 2002»
13 years 9 months ago
A ground truth based vanishing point detection algorithm
A Bayesian probability-based vanishing point detection algorithm is presented which introduces the use of multiple features and training with ground truth data to determine vanish...
Andrew C. Gallagher