142 search results - page 3 / 29 » Factorial Hidden Markov Models and the Generalized Backfitti... |
ANSS
2006
IEEE
13 years 11 months ago
2006
IEEE
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
ECCV
2002
Springer
14 years 7 months ago
2002
Springer
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
BMCBI
2005
13 years 5 months ago
2005
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
ICA
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. In recent years, there has been a great deal of work in modeling audio using non-negative matrix factorization and its probabilistic counterparts as they yield rich model...
AIIA
2007
Springer
13 years 11 months ago
2007
Springer
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...