638 search results - page 29 / 128 » Modeling interleaved hidden processes |
108
Voted
CSL
2010
Springer
2010
Springer
The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management
15 years 22 days ago
This paper explains how Partially Observable Markov Decision Processes (POMDPs) can provide a principled mathematical framework for modelling the inherent uncertainty in spoken di...
107
Voted
CORR
2008
Springer
15 years 22 days ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
111
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DAGM
2006
Springer
15 years 4 months ago
2006
Springer
Sequencing of peptides by tandem mass spectrometry has matured to the key technology for proteomics. Noise in the measurement process strongly favors statistical models like NovoHM...
154
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
114
Voted
ARTMED
2000
15 years 14 days ago
2000
Diagnosis of a disease and its treatment are not separate, one-shot activities. Instead, they are very often dependent and interleaved over time. This is mostly due to uncertainty...