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FLAIRS
2003
15 years 8 months ago
Using Bayesian Networks for Cleansing Trauma Data
Medical data is unique due to its large volume, heterogeneity and complexity. This necessitates costly active participation of medical domain experts in the task of cleansing medi...
Prashant Doshi, Lloyd Greenwald, John R. Clarke
WSC
1997
15 years 8 months ago
Simulation Optimization: Methods and Applications
Simulation optimization can be defined as the process of finding the best input variable values from among all possibilities without explicitly evaluating each possibility. The ob...
Yolanda Carson, Anu Maria
WSC
1997
15 years 8 months ago
Descriptive Sampling: An Improvement over Latin Hypercube Sampling
Descriptive Sampling (DS), a Monte Carlo sampling technique based on a deterministic selection of the input values and their random permutation, represents a deep conceptual chang...
Eduardo Saliby
AI
2008
Springer
15 years 6 months ago
Reachability analysis of uncertain systems using bounded-parameter Markov decision processes
Verification of reachability properties for probabilistic systems is usually based on variants of Markov processes. Current methods assume an exact model of the dynamic behavior a...
Di Wu, Xenofon D. Koutsoukos
AUTOMATICA
2006
88views more  AUTOMATICA 2006»
15 years 6 months ago
Exact computation of amplification for a class of nonlinear systems arising from cellular signaling pathways
A commonly employed measure of the signal amplification properties of an input/output system is its induced L2 norm, sometimes also known as H gain. In general, however, it is ext...
Eduardo D. Sontag, Madalena Chaves