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BMCBI
2008
120views more  BMCBI 2008»
13 years 9 months ago
Shape-IT: new rapid and accurate algorithm for haplotype inference
Background: We have developed a new computational algorithm, Shape-IT, to infer haplotypes under the genetic model of coalescence with recombination developed by Stephens et al in...
Olivier Delaneau, Cédric Coulonges, Jean-Fr...
PRL
2000
182views more  PRL 2000»
13 years 8 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
JMLR
2010
163views more  JMLR 2010»
13 years 3 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
CORR
2000
Springer
96views Education» more  CORR 2000»
13 years 9 months ago
A Bayesian Reflection on Surfaces
: The topic of this paper is a novel Bayesian continuous-basis field representation and inference framework. Within this paper several problems are solved: The maximally informativ...
David R. Wolf
UAI
2003
13 years 10 months ago
An Empirical Study of w-Cutset Sampling for Bayesian Networks
The paper studies empirically the time-space trade-off between sampling and inference in the cutset sampling algorithm. The algorithm samples over a subset of nodes in a Bayesian ...
Bozhena Bidyuk, Rina Dechter