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» Maximum Likelihood Bounded Tree-Width Markov Networks
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CSB
2003
IEEE
152views Bioinformatics» more  CSB 2003»
14 years 1 months ago
A Parallel Genetic Algorithm for Physical Mapping of Chromosomes
Physical map reconstruction in the presence of errors is a central problem in genetics of high computational complexity. A parallel genetic algorithm for a maximum likelihood esti...
Suchendra M. Bhandarkar, Jinling Huang, Jonathan A...
UAI
2004
13 years 9 months ago
Iterative Conditional Fitting for Gaussian Ancestral Graph Models
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
Mathias Drton, Thomas S. Richardson
NN
1997
Springer
174views Neural Networks» more  NN 1997»
14 years 1 days ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
BMCBI
2010
178views more  BMCBI 2010»
13 years 8 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
ICC
2008
IEEE
120views Communications» more  ICC 2008»
14 years 2 months ago
Single-Symbol ML Decodable Precoded DSTBCs for Cooperative Networks
Abstract— Single-Symbol Maximum Likelihood (ML) decodable Distributed Orthogonal Space-Time Block Codes (DOSTBCs) have been introduced recently for cooperative networks and an up...
Jagadeesh Harshan, B. Sundar Rajan