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AI
2006
Springer
13 years 7 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
BMCBI
2006
156views more  BMCBI 2006»
13 years 7 months ago
Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models
Background: Horizontal gene transfer (HGT) is considered a strong evolutionary force shaping the content of microbial genomes in a substantial manner. It is the difference in spee...
Stephan Waack, Oliver Keller, Roman Asper, Thomas ...
BMCBI
2006
205views more  BMCBI 2006»
13 years 7 months ago
Application of Petri net based analysis techniques to signal transduction pathways
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...
Andrea Sackmann, Monika Heiner, Ina Koch
BMCBI
2006
92views more  BMCBI 2006»
13 years 7 months ago
A jumping profile Hidden Markov Model and applications to recombination sites in HIV and HCV genomes
Background: Jumping alignments have recently been proposed as a strategy to search a given multiple sequence alignment A against a database. Instead of comparing a database sequen...
Anne-Kathrin Schultz, Ming Zhang, Thomas Leitner, ...
IOR
2008
91views more  IOR 2008»
13 years 7 months ago
A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
Pierre L'Ecuyer, Christian Lécot, Bruno Tuf...