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» Using Bayesian networks to analyze expression data
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FLAIRS
2004
14 years 11 months ago
Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ZhenQiu Liu, Dechang Chen
CSL
2006
Springer
14 years 10 months ago
Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition
In this contribution, the Bayesian framework for interpretation of evidence when applied to forensic speaker recognition is introduced. Different aspects of the use of voice as ev...
Joaquin Gonzalez-Rodriguez, Andrzej Drygajlo, Dani...
HICSS
2009
IEEE
128views Biometrics» more  HICSS 2009»
15 years 1 months ago
Cyber Security Risks Assessment with Bayesian Defense Graphs and Architectural Models
To facilitate rational decision making regarding cyber security investments, decision makers need to be able to assess expected losses before and after potential investments. This...
Teodor Sommestad, Mathias Ekstedt, Pontus Johnson
SGP
2003
14 years 11 months ago
A geometric database for gene expression data
As the logical next step after sequencing the mouse genome, biologists have developed laboratory methods for rapidly determining where each of the 30K genes in the mouse genome is...
Joe D. Warren, Tao Ju, Gregor Eichele, Christina T...
CEC
2010
IEEE
14 years 11 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne