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AUSAI
2008
Springer
14 years 11 months ago
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holme...
ICML
2008
IEEE
15 years 10 months ago
Beam sampling for the infinite hidden Markov model
The infinite hidden Markov model is a nonparametric extension of the widely used hidden Markov model. Our paper introduces a new inference algorithm for the infinite Hidden Markov...
Jurgen Van Gael, Yunus Saatci, Yee Whye Teh, Zoubi...
COMPSAC
2003
IEEE
15 years 3 months ago
Testing the Suitability of Markov Chains as Web Usage Models
Markov chains have been used to model web usages and served as the basis for statistical testing, performance evaluation, and reliability analysis. However, most of such applicati...
Zhao Li, Jeff Tian
ML
2006
ACM
187views Machine Learning» more  ML 2006»
14 years 9 months ago
Modeling, analyzing, and synthesizing expressive piano performance with graphical models
Abstract Trained musicians intuitively produce expressive variations that add to their audience's enjoyment. However, there is little quantitative information about the kinds ...
Graham Grindlay, David P. Helmbold
QEST
2006
IEEE
15 years 3 months ago
Bound-Preserving Composition for Markov Reward Models
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
David Daly, Peter Buchholz, William H. Sanders