887 search results - page 17 / 178 » Representing Systems with Hidden State |
103
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UM
2007
Springer
15 years 8 months ago
2007
Springer
Predictive user models often require a phase of effortful supervised training where cases are tagged with labels that represent the status of unobservable variables. We formulate a...
149
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PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
KI
2009
Springer
15 years 8 months ago
2009
Springer
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
123
Voted
ISMB
1998
15 years 3 months ago
1998
A novel method to model and predict the location and orientation of alpha helices in membrane- spanning proteins is presented. It is based on a hidden Markov model (HMM) with an a...
98
Voted
CSL
2004
Springer
15 years 1 months ago
2004
Springer
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...