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ATAL
2003
Springer
15 years 3 months ago
Minimizing communication cost in a distributed Bayesian network using a decentralized MDP
In complex distributed applications, a problem is often decomposed into a set of subproblems that are distributed to multiple agents. We formulate this class of problems with a tw...
Jiaying Shen, Victor R. Lesser, Norman Carver
IJCNN
2000
IEEE
15 years 2 months ago
On MCMC Sampling in Bayesian MLP Neural Networks
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
Aki Vehtari, Simo Särkkä, Jouko Lampinen
JMLR
2010
97views more  JMLR 2010»
14 years 4 months ago
Evaluation of a Bayesian model-based approach in GA studies
In a typical Genetic Association Study (GAS) several hundreds to millions of genomic variables are measured and tested for association with a given set of a phenotypic variables (...
Gábor Hullám, Peter Antal, Csaba Sza...
IUI
2006
ACM
15 years 3 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
ICML
2008
IEEE
15 years 10 months ago
Sequence kernels for predicting protein essentiality
The problem of identifying the minimal gene set required to sustain life is of crucial importance in understanding cellular mechanisms and designing therapeutic drugs. This work d...
Cyril Allauzen, Mehryar Mohri, Ameet Talwalkar