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» Logical Hidden Markov Models
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147
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ICASSP
2009
IEEE
15 years 1 months ago
Applying discretized articulatory knowledge to dysarthric speech
This paper applies two dynamic Bayes networks that include theoretical and measured kinematic features of the vocal tract, respectively, to the task of labeling phoneme sequences ...
Frank Rudzicz
118
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ICNC
2005
Springer
15 years 9 months ago
Texture Segmentation Using Neural Networks and Multi-scale Wavelet Features
This paper presents a novel texture segmentation method using Bayesian estimation and neural networks. Multi-scale wavelet coefficients and the context information extracted from n...
Tae-Hyung Kim, Il Kyu Eom, Yoo Shin Kim
126
Voted
QEST
2008
IEEE
15 years 10 months ago
Hintikka Games for PCTL on Labeled Markov Chains
We present Hintikka games for formulae of the probabilistic temporal logic PCTL and countable labeled Markov chains as models, giving an operational account of the denotational se...
Harald Fecher, Michael Huth, Nir Piterman, Daniel ...
125
Voted
ENTCS
2010
103views more  ENTCS 2010»
15 years 1 months ago
A Model and Analysis of the AKAP Scaffold
We study the biochemical processes involved in scaffold-mediated crosstalk between the cAMP and the Raf-1/MEK/ERK pathways. We model the system by a continuous time Markov chain w...
Oana Andrei, Muffy Calder
137
Voted
HYBRID
2010
Springer
15 years 10 months ago
On the connections between PCTL and dynamic programming
Probabilistic Computation Tree Logic (PCTL) is a wellknown modal logic which has become a standard for expressing temporal properties of finite-state Markov chains in the context...
Federico Ramponi, Debasish Chatterjee, Sean Summer...