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» The Infinite Hidden Markov Model
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NIPS
2001
15 years 1 months ago
Linear-time inference in Hierarchical HMMs
The hierarchical hidden Markov model (HHMM) is a generalization of the hidden Markov model (HMM) that models sequences with structure at many length/time scales [FST98]. Unfortuna...
K. P. Murphy, Mark A. Paskin
94
Voted
ECML
2005
Springer
15 years 5 months ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont
STAIRS
2008
175views Education» more  STAIRS 2008»
15 years 1 months ago
Learning Process Behavior with EDY: an Experimental Analysis
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Ugo Galassi
ISI
2003
Springer
15 years 5 months ago
Locating Hidden Groups in Communication Networks Using Hidden Markov Models
Malik Magdon-Ismail, Mark K. Goldberg, William A. ...
110
Voted
ICASSP
2010
IEEE
15 years 14 days ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou