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» Inference Algorithms for Similarity Networks
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DSS
2006
116views more  DSS 2006»
14 years 9 months ago
Matching knowledge elements in concept maps using a similarity flooding algorithm
Concept mapping systems used in education and knowledge management emphasize flexibility of representation to enhance learning and facilitate knowledge capture. Collections of con...
Byron Marshall, Hsinchun Chen, Therani Madhusudan
74
Voted
SAC
2008
ACM
14 years 9 months ago
Bayesian inference for a discretely observed stochastic kinetic model
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
Richard J. Boys, Darren J. Wilkinson, Thomas B. L....
ECCB
2003
IEEE
15 years 3 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...
BMCBI
2007
130views more  BMCBI 2007»
14 years 9 months ago
A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression da
Background: Proteins are the primary regulatory agents of transcription even though mRNA expression data alone, from systems like DNA microarrays, are widely used. In addition, th...
Reuben Thomas, Carlos J. Paredes, Sanjay Mehrotra,...
RSFDGRC
2005
Springer
208views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks
Abstract. In this paper, we revisit the consensus of computational complexity on exact inference in Bayesian networks. We point out that even in singly connected Bayesian networks,...
Dan Wu, Cory J. Butz