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» Bayesian inference for differential equations
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ISCI
2008
137views more  ISCI 2008»
13 years 5 months ago
Inference of differential equation models by genetic programming
This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
Hitoshi Iba
ICIC
2009
Springer
13 years 3 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
JMLR
2010
140views more  JMLR 2010»
13 years 12 days ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman
IJAR
2006
125views more  IJAR 2006»
13 years 5 months ago
Compiling relational Bayesian networks for exact inference
We describe in this paper a system for exact inference with relational Bayesian networks as defined in the publicly available Primula tool. The system is based on compiling propos...
Mark Chavira, Adnan Darwiche, Manfred Jaeger