90 search results - page 15 / 18 » Utile distinction hidden Markov models |
86
Voted
ICML
2008
IEEE
16 years 1 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...
93
Voted
ICASSP
2009
IEEE
15 years 7 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...
108
Voted
IEEEVAST
2010
14 years 7 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...
79
Voted
BMCBI
2007
15 years 13 days 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) ...
107
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ACL
2001
15 years 1 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...