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...
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...
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...
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...
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...