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» Detection of Stochastic Processes
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ANSS
2006
IEEE
14 years 2 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
MOC
1998
89views more  MOC 1998»
13 years 8 months ago
Approximation of continuous time stochastic processes by a local linearization method
This paper investigates the rate of convergence of an alternative approximation method for stochastic differential equations. The rates of convergence of the one-step and multi-st...
Isao Shoji
CMSB
2009
Springer
14 years 14 hour ago
On the Use of Stochastic Petri Nets in the Analysis of Signal Transduction Pathways for Angiogenesis Process
In this paper we consider the modeling of a selected portion of signal transduction events involved in the angiogenesis process. The detailed model of this process contains a large...
Lucia Napione, Daniele Manini, Francesca Cordero, ...
NIPS
2007
13 years 10 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
EH
2005
IEEE
127views Hardware» more  EH 2005»
14 years 2 months ago
On the Robustness Achievable with Stochastic Development Processes
Manufacturing processes are a key source of faults in complex hardware systems. Minimizing this impact of manufacturing uncertainties is one way towards achieving fault tolerant s...
Shivakumar Viswanathan, Jordan B. Pollack