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IDA
2005
Springer
15 years 12 months ago
Bayesian Networks Learning for Gene Expression Datasets
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...
IJPRAI
1998
100views more  IJPRAI 1998»
15 years 6 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou
ISMIS
2003
Springer
15 years 11 months ago
Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks
Abstract. Multiply sectioned Bayesian networks (MSBNs) were originally proposed as a modular representation of uncertain knowledge by sectioning a large Bayesian network (BN) into ...
Cory J. Butz, H. Geng
ICIP
2003
IEEE
16 years 8 months ago
Unsupervised statistical sketching for non-photorealistic rendering models
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
Max Mignotte
BIBE
2003
IEEE
15 years 11 months ago
An Investigation of Phylogenetic Likelihood Methods
Abstract— We analyze the performance of likelihoodbased approaches used to reconstruct phylogenetic trees. Unlike other techniques such as Neighbor-Joining (NJ) and Maximum Parsi...
Tiffani L. Williams, Bernard M. E. Moret