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92
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BMCBI
2008
139views more  BMCBI 2008»
14 years 10 months ago
A topological transformation in evolutionary tree search methods based on maximum likelihood combining p-ECR and neighbor joinin
Background: Inference of evolutionary trees using the maximum likelihood principle is NP-hard. Therefore, all practical methods rely on heuristics. The topological transformations...
Maozu Guo, Jian-Fu Li, Yang Liu
ICASSP
2011
IEEE
14 years 2 months ago
From maximum likelihood to iterative decoding
Iterative decoding is considered in this paper from an optimization point of view. Starting from the optimal maximum likelihood decoding, a (tractable) approximate criterion is de...
Florence Alberge, Ziad Naja, Pierre Duhamel
69
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UAI
2004
14 years 11 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
61
Voted
NIPS
2004
14 years 11 months ago
Maximum Likelihood Estimation of Intrinsic Dimension
We propose a new method for estimating intrinsic dimension of a dataset derived by applying the principle of maximum likelihood to the distances between close neighbors. We derive...
Elizaveta Levina, Peter J. Bickel
94
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UAI
2001
14 years 11 months ago
Maximum Likelihood Bounded Tree-Width Markov Networks
We study the problem of projecting a distribution onto (or finding a maximum likelihood distribution among) Markov networks of bounded tree-width. By casting it as the combinatori...
Nathan Srebro