Sciweavers

1340 search results - page 68 / 268
» Structure learning of Bayesian networks using constraints
Sort
View
NIPS
2003
15 years 1 months ago
Ambiguous Model Learning Made Unambiguous with 1/f Priors
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Gurinder S. Atwal, William Bialek
UAI
1996
15 years 1 months ago
Context-Specific Independence in Bayesian Networks
Bayesiannetworks provide a languagefor qualitatively representing the conditional independence properties of a distribution. This allows a natural and compact representation of th...
Craig Boutilier, Nir Friedman, Moisés Golds...
ASC
2004
14 years 11 months ago
Clustering terms in the Bayesian network retrieval model: a new approach with two term-layers
The retrieval performance of an information retrieval system usually increases when it uses the relationships among the terms contained in a given document collection. However, th...
Luis M. de Campos, Juan M. Fernández-Luna, ...
CONSTRAINTS
2008
182views more  CONSTRAINTS 2008»
14 years 12 months ago
Constraint Programming in Structural Bioinformatics
Bioinformatics aims at applying computer science methods to the wealth of data collected in a variety of experiments in life sciences (e.g. cell and molecular biology, biochemistry...
Pedro Barahona, Ludwig Krippahl
IVC
2002
92views more  IVC 2002»
14 years 11 months ago
Image segmentation by relaxation using constraint satisfaction neural network
The problem of image segmentation using constraint satisfaction neural networks (CSNN) has been considered. Several variations of the CSNN theme have been advanced to improve its ...
Fatih Kurugollu, Bülent Sankur, A. Emre Harma...