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» Estimation of non-stationary Markov Chain transition models
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ICIP
2002
IEEE
16 years 1 months ago
A Bayesian approach to inferring vascular tree structure from 2D imagery
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...
Abhir Bhalerao, Elke Thönnes, Roland Wilson, ...
TSP
2010
14 years 6 months ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
QOSA
2010
Springer
15 years 3 months ago
Parameterized Reliability Prediction for Component-Based Software Architectures
Critical properties of software systems, such as reliability, should be considered early in the development, when they can govern crucial architectural design decisions. A number o...
Franz Brosch, Heiko Koziolek, Barbora Buhnova, Ral...
DAC
1994
ACM
15 years 3 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...
IJIT
2004
15 years 1 months ago
On proposing a Markup Language for Statecharts to be used in Performance Evaluation
Statecharts have been originally created to specify complex reactive systems for use in simulating real-time applications. They extend state transition diagrams with notons of hier...
A. S. M. S. Amaral, R. R. Veloso, Nandamudi Lankal...