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» First-order probabilistic inference
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111
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PAMI
2008
145views more  PAMI 2008»
15 years 15 days ago
Latent-Space Variational Bayes
Variational Bayesian Expectation-Maximization (VBEM), an approximate inference method for probabilistic models based on factorizing over latent variables and model parameters, has ...
JaeMo Sung, Zoubin Ghahramani, Sung Yang Bang
104
Voted
RECOMB
2007
Springer
16 years 27 days ago
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
Anitha Kannan, Andrew Emili, Brendan J. Frey
111
Voted
RECOMB
2005
Springer
16 years 26 days ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
TON
2010
204views more  TON 2010»
14 years 7 months ago
Passive Diagnosis for Wireless Sensor Networks
Network diagnosis, an essential research topic for traditional networking systems, has not received much attention for wireless sensor networks. Existing sensor debugging tools li...
Yunhao Liu, Kebin Liu, Mo Li
113
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CVPR
2009
IEEE
16 years 7 months ago
Simultaneous Image Classification and Annotation
Image classification and annotation are important problems in computer vision, but rarely considered together. Intuitively, annotations provide evidence for the class label, and...
Chong Wang, David M. Blei, Fei-Fei Li