454 search results - page 33 / 91 » Bayesian learning of measurement and structural models |
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
BMCBI
2008
13 years 9 months ago
2008
Background: We consider the discovery of recombinant segments jointly with their origins within multilocus DNA sequences from bacteria representing heterogeneous populations of fa...
IJDAR
2010
13 years 7 months ago
2010
Inthispaper,weproposeadescriptorcombination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor. This ...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
IWINAC
2007
Springer
14 years 3 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...