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SAC
2009
ACM
13 years 11 months ago
Modular implementation of adaptive decisions in stochastic simulations
We present a modular approach to implement adaptive decisions with existing scientific codes. Using a sophisticated system software tool based on the function call interception t...
Pilsung Kang 0002, Yang Cao, Naren Ramakrishnan, C...
NIPS
2001
13 years 5 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...
WSC
2007
13 years 6 months ago
Representation and simulation of stochastic petrinet models using xPNML
The paper presents an extensible Petri Net Markup Language (xPNML), which is an extended version of PNML. The xPNML format overcomes limitations associated with PNML structure for...
Hyunsoo Lee, Bikram Sharda, Amarnath Banerjee
ICRA
2002
IEEE
121views Robotics» more  ICRA 2002»
13 years 9 months ago
Modular Modeling and Analysis of a Distributed Production System with Distant Specialised Maintenance
This paper introduces a modular modeling approach for distributed production systems, considering production and maintenance processes synchronization. Thus, production job shop, p...
Daniel I. Racoceanu, Noureddine Zerhouni, Nawal Ad...
MOR
2007
140views more  MOR 2007»
13 years 3 months ago
Adaptive Control Variates for Finite-Horizon Simulation
Adaptive Monte Carlo methods are simulation efficiency improvement techniques designed to adaptively tune simulation estimators. Most of the work on adaptive Monte Carlo methods h...
Sujin Kim, Shane G. Henderson