143 search results - page 21 / 29 » Bisimulation for Labelled Markov Processes |
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
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 ...
MPC
2010
Springer
14 years 9 days ago
2010
Springer
d Abstract) Jane Hillston Laboratory for Foundations of Computer Science, The University of Edinburgh, Scotland Quantitative Analysis Stochastic process algebras extend classical p...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...