49 search results - page 4 / 10 » Finite State Transducers Approximating Hidden Markov Models |
107
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CSDA
2011
14 years 5 months ago
2011
Motivated by the application of seismic inversion in the petroleum industry we consider a hidden Markov model with two hidden layers. The bottom layer is a Markov chain and given ...
100
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ICML
1999
IEEE
15 years 11 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
63
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NIPS
1996
14 years 11 months ago
1996
We study a time series model that can be viewed as a decision tree with Markov temporal structure. The model is intractable for exact calculations, thus we utilize variational app...
107
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AI
2006
Springer
14 years 10 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
CSL
2010
Springer
2010
Springer
The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management
14 years 10 months 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...