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» Markov constraints: steerable generation of Markov sequences
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ISMB
1996
13 years 6 months ago
Parameterization Studies for the SAM and HMMER Methods of Hidden Markov Model Generation
Multiple sequence alignment of distantly related viral proteins remains a challenge to all currently available alignment methods. The hidden Markovmodel approach offers a new,flex...
Marcella A. McClure, Chris Smith, Pete Elton
ECAI
2004
Springer
13 years 10 months ago
Generating Random Bayesian Networks with Constraints on Induced Width
We present algorithms for the generation of uniformly distributed Bayesian networks with constraints on induced width. The algorithms use ergodic Markov chains to generate samples....
Jaime Shinsuke Ide, Fabio Gagliardi Cozman, Fabio ...
BMCBI
2004
177views more  BMCBI 2004»
13 years 5 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
RSS
2007
136views Robotics» more  RSS 2007»
13 years 6 months ago
The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
Ron Alterovitz, Thierry Siméon, Kenneth Y. ...
TIT
2010
112views Education» more  TIT 2010»
13 years 3 days ago
Twice-universal simulation of Markov sources and individual sequences
Abstract-- The problem of universal simulation given a training sequence is studied both in a stochastic setting and for individual sequences. In the stochastic setting, the traini...
Alvaro Martín, Neri Merhav, Gadiel Seroussi...