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IRREGULAR
1997
Springer
14 years 1 months ago
Parallel Shared-Memory State-Space Exploration in Stochastic Modeling
Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...
Susann C. Allmaier, Graham Horton
NIPS
2001
13 years 10 months ago
An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures
This paper describes a clustering algorithm for vector quantizers using a "stochastic association model". It offers a new simple and powerful softmax adaptation rule. Th...
Takashi Morie, Tomohiro Matsuura, Makoto Nagata, A...
INFORMS
1998
142views more  INFORMS 1998»
13 years 8 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
IJON
2006
71views more  IJON 2006»
13 years 9 months ago
A neurocomputational model of stochastic resonance and aging
Stochastic resonance (SR) is fundamental to physical and biological processes. Here, we use a stochastic gain-tuning model to investigate interactions between aging-related increa...
Shu-Chen Li, Timo von Oertzen, Ulman Lindenberger
IWIA
2005
IEEE
14 years 2 months ago
Attack-Potential-Based Survivability Modeling for High-Consequence Systems
Previous quantitative models of security or survivability have been defined on a range of probable intruder behavior. This measures survivability as a statistic such as mean time...
John McDermott