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Maximum likelihood from incomplete data via the EM algorithm

by A. P. Dempster, N. M. Laird, D. B. Rubin - JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B , 1977
"... A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situat ..."
Abstract - Cited by 11972 (17 self) - Add to MetaCart
A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value

A maximum likelihood approach to continuous speech recognition

by Lalit R. Bahl, Frederick Jelinek, Robert, L. Mercer - IEEE Trans. Pattern Anal. Machine Intell , 1983
"... Abstract-Speech recognition is formulated as a problem of maximum likelihood decoding. This formulation requires statistical models of the speech production process. In this paper, we describe a number of sta-tistical models for use in speech recognition. We give special attention to determining the ..."
Abstract - Cited by 477 (9 self) - Add to MetaCart
Abstract-Speech recognition is formulated as a problem of maximum likelihood decoding. This formulation requires statistical models of the speech production process. In this paper, we describe a number of sta-tistical models for use in speech recognition. We give special attention to determining

Paml 4: Phylogenetic analysis by maximum likelihood

by Ziheng Yang - Mol. Biol. Evol , 2007
"... PAML, currently in version 4, is a package of programs for phylogenetic analyses of DNA and protein sequences using maximum likelihood (ML). The programs may be used to compare and test phylogenetic trees, but their main strengths lie in the rich repertoire of evolutionary models implemented, which ..."
Abstract - Cited by 1201 (28 self) - Add to MetaCart
PAML, currently in version 4, is a package of programs for phylogenetic analyses of DNA and protein sequences using maximum likelihood (ML). The programs may be used to compare and test phylogenetic trees, but their main strengths lie in the rich repertoire of evolutionary models implemented, which

PAML: a program package for phylogenetic analysis by maximum likelihood

by Ziheng Yang - COMPUT APPL BIOSCI 13:555–556 , 1997
"... PAML, currently in version 1.2, is a package of programs for phylogenetic analyses of DNA and protein sequences using the method of maximum likelihood (ML). The programs can be used for (i) maximum likelihood estimation of evolutionary parameters such as branch lengths in a phylogenetic tree, the tr ..."
Abstract - Cited by 1459 (17 self) - Add to MetaCart
PAML, currently in version 1.2, is a package of programs for phylogenetic analyses of DNA and protein sequences using the method of maximum likelihood (ML). The programs can be used for (i) maximum likelihood estimation of evolutionary parameters such as branch lengths in a phylogenetic tree

A Simple, Fast, and Accurate Algorithm to Estimate Large Phylogenies by Maximum Likelihood

by Stéphane Guindon, Olivier Gascuel , 2003
"... The increase in the number of large data sets and the complexity of current probabilistic sequence evolution models necessitates fast and reliable phylogeny reconstruction methods. We describe a new approach, based on the maximumlikelihood principle, which clearly satisfies these requirements. The ..."
Abstract - Cited by 2182 (27 self) - Add to MetaCart
of the topology and branch lengths, only a few iterations are sufficient to reach an optimum. We used extensive and realistic computer simulations to show that the topological accuracy of this new method is at least as high as that of the existing maximum-likelihood programs and much higher than the performance

Maximum Likelihood Linear Transformations for HMM-Based Speech Recognition

by M.J.F. Gales - COMPUTER SPEECH AND LANGUAGE , 1998
"... This paper examines the application of linear transformations for speaker and environmental adaptation in an HMM-based speech recognition system. In particular, transformations that are trained in a maximum likelihood sense on adaptation data are investigated. Other than in the form of a simple bias ..."
Abstract - Cited by 570 (68 self) - Add to MetaCart
This paper examines the application of linear transformations for speaker and environmental adaptation in an HMM-based speech recognition system. In particular, transformations that are trained in a maximum likelihood sense on adaptation data are investigated. Other than in the form of a simple

with maximum likelihood

by Randy J. Read
"... Pushing the boundaries of molecular replacement with maximum ..."
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Pushing the boundaries of molecular replacement with maximum

◮ Maximum likelihood

by Max Whitney, Anoop Sarkar, Co-training Avrim Blum, Tom Mitchell, Co-training Avrim Blum, Tom Mitchell
"... ◮ Semi-supervised (vs supervised) ◮ Single domain (vs domain adaptation) ◮ Small amount of seed data/rules (vs domain adaptation) 1 Bootstrapping ◮ Semi-supervised (vs supervised) ◮ Single domain (vs domain adaptation) ◮ Small amount of seed data/rules (vs domain adaptation) Assumption: ◮ No transdu ..."
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◮ Semi-supervised (vs supervised) ◮ Single domain (vs domain adaptation) ◮ Small amount of seed data/rules (vs domain adaptation) 1 Bootstrapping ◮ Semi-supervised (vs supervised) ◮ Single domain (vs domain adaptation) ◮ Small amount of seed data/rules (vs domain adaptation) Assumption: ◮ No transductive learning

Maximum likelihood

by unknown authors
"... gKeywords: ..."
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gKeywords:

Maximum Likelihood

by T. H. A. Wedel, M. A Monte, Carlo Evaluation, Maximum Likelihood, Multidimensional Scaling, A Monte, Carlo Evaluation , 1996
"... Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download a ..."
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Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright, please contact us providing details, and we will remove access to the work immediately and investigate your claim.
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