90 search results - page 15 / 18 » Utile distinction hidden Markov models |
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
ICASSP
2009
IEEE
14 years 4 months ago
2009
IEEE
Smart homes for the aging population have recently started attracting the attention of the research community. One of the problems of interest is this of monitoring the activities...
IEEEVAST
2010
13 years 4 months ago
2010
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
BMCBI
2007
13 years 10 months ago
2007
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
ACL
2001
13 years 11 months ago
2001
A hybrid system is described which combines the strength of manual rulewriting and statistical learning, obtaining results superior to both methods if applied separately. The comb...