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» Decisive Markov Chains
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DAC
1994
ACM
15 years 5 months ago
Probabilistic Analysis of Large Finite State Machines
Regarding nite state machines as Markov chains facilitates the application of probabilistic methods to very large logic synthesis and formal veri cation problems. Recently, we ha...
Gary D. Hachtel, Enrico Macii, Abelardo Pardo, Fab...
ICDE
2008
IEEE
117views Database» more  ICDE 2008»
16 years 2 months ago
Mining Search-Phrase Definitions from Item Descriptions
In this paper, we develop a model for representing term dependence based on Markov Random Fields and present an approach based on Markov Chain Monte Carlo technique for generating ...
Hung V. Nguyen, Hasan Davulcu
ICPR
2006
IEEE
16 years 2 months ago
A Combined Bayesian Markovian Approach for Behaviour Recognition
Numerous techniques exist which can be used for the task of behavioural analysis and recognition. Common amongst these are Bayesian networks and Hidden Markov Models. Although the...
David Paul Young, James M. Ferryman, Nicholas L. C...
CDC
2008
IEEE
140views Control Systems» more  CDC 2008»
15 years 8 months ago
Information state for Markov decision processes with network delays
We consider a networked control system, where each subsystem evolves as a Markov decision process (MDP). Each subsystem is coupled to its neighbors via communication links over wh...
Sachin Adlakha, Sanjay Lall, Andrea J. Goldsmith
IJCNN
2007
IEEE
15 years 7 months ago
Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic
–The performability of disk arrays systems has been studied before. However, in the case of imprecise data, a fuzzy model can be the base for the performability analysis. This pa...
Guillermo Navarro, Milos Manic