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» Compiling Bayesian Networks Using Variable Elimination
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CSB
2003
IEEE
130views Bioinformatics» more  CSB 2003»
14 years 23 days ago
Latent Structure Models for the Analysis of Gene Expression Data
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Dong Hua, Dechang Chen, Xiuzhen Cheng, Abdou Youss...
IJAR
2010
97views more  IJAR 2010»
13 years 6 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
PAMI
2010
174views more  PAMI 2010»
13 years 5 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji
MOBICOM
2012
ACM
11 years 10 months ago
MIDU: enabling MIMO full duplex
Given that full duplex (FD) and MIMO both employ multiple antenna resources, an important question that arises is how to make the choice between MIMO and FD? We show that optimal ...
Ehsan Aryafar, Mohammad Ali Khojastepour, Karthike...
ANCS
2006
ACM
14 years 1 months ago
Localized asynchronous packet scheduling for buffered crossbar switches
Buffered crossbar switches are a special type of crossbar switches. In such a switch, besides normal input queues and output queues, a small buffer is associated with each crosspo...
Deng Pan, Yuanyuan Yang