116 search results - page 4 / 24 » Minimum Message Length Hidden Markov Modelling |
BMCBI
2008
13 years 7 months ago
2008
Background: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clus...
TSP
2010
13 years 2 months ago
2010
We address the problem in signal classification applications, such as automatic speech recognition (ASR) systems that employ the hidden Markov model (HMM), that it is necessary to...
RECOMB
2001
Springer
14 years 7 months ago
2001
Springer
Hidden Markov models (HMMs) have been successfully applied to a variety of problems in molecular biology, ranging from alignment problems to gene nding and annotation. Alignment p...
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
The problem of discrete universal filtering, in which the components of a discrete signal emitted by an unknown source and corrupted by a known discrete memoryless channel (DMC) ar...