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» Building a Stochastic Dynamic Model of Application Use
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WSC
2007
15 years 6 months ago
Feasibility study of variance reduction in the logistics composite model
The Logistics Composite Model (LCOM) is a stochastic, discrete-event simulation that relies on probabilities and random number generators to model scenarios in a maintenance unit ...
George P. Cole III, Alan W. Johnson, J. O. Miller
ICMCS
2005
IEEE
87views Multimedia» more  ICMCS 2005»
15 years 10 months ago
A Probabilistic Description of Man-Machine Spoken Communication
Speech enabled interfaces and spoken dialog systems are mostly based on statistical speech and language processing modules. Their behavior is therefore not deterministic and hardl...
Olivier Pietquin
ICMLA
2007
15 years 6 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
WSC
1998
15 years 5 months ago
Application of Business Process Modeling at Timberland
Process modeling and simulation was introduced to the Timberland Co. in order to help improve the company's increasingly complex and cross-functional business processes. Two ...
Dan Grosz
COORDINATION
2007
Springer
15 years 10 months ago
Reactors: A Data-Oriented Synchronous/Asynchronous Programming Model for Distributed Applications
Our aim is to define the kernel of a simple and uniform programming model—the reactor model—suitable for building and evolving internet-scale programs. A reactor consists of t...
John Field, Maria-Cristina V. Marinescu, Christian...