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» Inferring Genetic Networks from Microarray Data
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ECCV
2008
Springer
16 years 1 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
BMCBI
2006
87views more  BMCBI 2006»
14 years 12 months ago
Computational expression deconvolution in a complex mammalian organ
Background: Microarray expression profiling has been widely used to identify differentially expressed genes in complex cellular systems. However, while such methods can be used to...
Min Wang, Stephen R. Master, Lewis A. Chodosh
NAR
2007
95views more  NAR 2007»
14 years 11 months ago
VisANT 3.0: new modules for pathway visualization, editing, prediction and construction
With the integration of the KEGG and Predictome databases as well as two search engines for coexpressed genes/proteins using data sets obtained from the Stanford Microarray Databa...
Zhenjun Hu, David M. Ng, Takuji Yamada, Chunnuan C...
JMLR
2006
118views more  JMLR 2006»
14 years 11 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
IMC
2005
ACM
15 years 5 months ago
Network Anomography
Anomaly detection is a first and important step needed to respond to unexpected problems and to assure high performance and security in IP networks. We introduce a framework and ...
Yin Zhang, Zihui Ge, Albert G. Greenberg, Matthew ...