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BMCBI
2007
164views more  BMCBI 2007»
14 years 10 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
UAI
2001
14 years 12 months ago
Expectation Propagation for approximate Bayesian inference
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
Thomas P. Minka
APBC
2003
14 years 12 months ago
Inferring an Original Sequence from Erroneous Copies : A Bayesian Approach
This paper considers the problem of inferring an original sequence from a number of erroneous copies. The problem arises in DNA sequencing, particularly in the context of emerging...
Jonathan M. Keith, Peter Adams, Darryn E. Bryant, ...
CSDA
2008
122views more  CSDA 2008»
14 years 10 months ago
Bayesian inference for nonlinear multivariate diffusion models observed with error
Diffusion processes governed by stochastic differential equations (SDEs) are a well established tool for modelling continuous time data from a wide range of areas. Consequently, t...
Andrew Golightly, Darren J. Wilkinson
NIPS
2004
14 years 12 months ago
Inference, Attention, and Decision in a Bayesian Neural Architecture
We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...
Angela J. Yu, Peter Dayan