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» A Differential Approach to Inference in Bayesian Networks
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BMCBI
2010
165views more  BMCBI 2010»
13 years 8 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
NIPS
2004
13 years 10 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
IUI
2006
ACM
14 years 2 months ago
Who's asking for help?: a Bayesian approach to intelligent assistance
Automated software customization is drawing increasing attention as a means to help users deal with the scope, complexity, potential intrusiveness, and ever-changing nature of mod...
Bowen Hui, Craig Boutilier
MINENET
2006
ACM
14 years 2 months ago
Diagnosis of TCP overlay connection failures using bayesian networks
When failures occur in Internet overlay connections today, it is difficult for users to determine the root cause of failure. An overlay connection may require TCP connections bet...
George J. Lee, Lindsey Poole
PR
2011
13 years 3 months ago
A variational Bayesian methodology for hidden Markov models utilizing Student's-t mixtures
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
Sotirios Chatzis, Dimitrios I. Kosmopoulos