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» Using Bayesian networks to analyze expression data
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BMCBI
2007
169views more  BMCBI 2007»
14 years 9 months ago
Transcription factor target prediction using multiple short expression time series from Arabidopsis thaliana
Background: The central role of transcription factors (TFs) in higher eukaryotes has led to much interest in deciphering transcriptional regulatory interactions. Even in the best ...
Henning Redestig, Daniel Weicht, Joachim Selbig, M...
ICML
2007
IEEE
15 years 10 months ago
Bayesian actor-critic algorithms
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
Mohammad Ghavamzadeh, Yaakov Engel
ICCV
2003
IEEE
15 years 11 months ago
A Bayesian Network Framework for Relational Shape Matching
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...
Anand Rangarajan, James M. Coughlan, Alan L. Yuill...
ICIC
2009
Springer
14 years 7 months ago
Inference of Differential Equation Models by Multi Expression Programming for Gene Regulatory Networks
This paper presents an evolutionary method for identifying the gene regulatory network from the observed time series data of gene expression using a system of ordinary differential...
Bin Yang, Yuehui Chen, Qingfang Meng
ATAL
2008
Springer
14 years 12 months ago
Dynamic Bayesian network based interest estimation for visual attentive presentation agents
In this paper, we report on an interactive system and the results ofa formal user study that was carried out with the aim of comparing two approaches to estimating users' int...
Boris Brandherm, Helmut Prendinger, Mitsuru Ishizu...