1318 search results - page 76 / 264 » Aggregation-based model reduction of a Hidden Markov Model |
60
Voted
IJCAI
2003
15 years 2 months ago
2003
This paper proposes a statistical model for defining string similarity. The proposed model is based on hidden Markov model and defines string similarity as the combination of simi...
138
Voted
CORR
2012
Springer
13 years 8 months ago
2012
Springer
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
103
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ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
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...
CSL
2002
Springer
15 years 12 days ago
2002
Springer
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...