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CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 9 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
ECAI
2006
Springer
15 years 8 months ago
Compact Representation of Sets of Binary Constraints
Abstract. We address the problem of representing big sets of binary constraints compactly. Binary constraints in the form of 2literal clauses are ubiquitous in propositional formul...
Jussi Rintanen
DIALM
2008
ACM
140views Algorithms» more  DIALM 2008»
15 years 6 months ago
Latency of opportunistic forwarding in finite regular wireless networks
In opportunistic forwarding, a node randomly relays packets to one of its neighbors based on local information, without the knowledge of global topology. Each intermediate node co...
Prithwish Basu, Chi-Kin Chau
129
Voted
NIPS
2004
15 years 6 months ago
Expectation Consistent Free Energies for Approximate Inference
We propose a novel a framework for deriving approximations for intractable probabilistic models. This framework is based on a free energy (negative log marginal likelihood) and ca...
Manfred Opper, Ole Winther
UAI
2000
15 years 6 months ago
Tractable Bayesian Learning of Tree Belief Networks
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
Marina Meila, Tommi Jaakkola