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FLAIRS
2004
13 years 9 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
IPSN
2007
Springer
14 years 2 months ago
Sparse data aggregation in sensor networks
We study the problem of aggregating data from a sparse set of nodes in a wireless sensor network. This is a common situation when a sensor network is deployed to detect relatively...
Jie Gao, Leonidas J. Guibas, Nikola Milosavljevic,...
ICASSP
2007
IEEE
14 years 2 months ago
Genomic Network Tomography
This paper considers the problem of learning cellular signaling networks from incomplete measurements of pathway activity. Cells respond to environmental changes (e.g., starvation...
Michael G. Rabbat, Mário A. T. Figueiredo, ...
WECWIS
2008
IEEE
127views ECommerce» more  WECWIS 2008»
14 years 2 months ago
SSWiM: A Semantic Service, Wrapper and Invocation Manager
Integrating service description, discovery, and invocation functionalities presents several fundamental problems in the management of web services and is a basic problem for compo...
Anna Sibirtseva, Zhongnan Shen, Jianwen Su, Fulian...
ECCV
2008
Springer
14 years 10 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