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» Simulation Input Updating Using Bayesian Techniques
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ICML
2004
IEEE
14 years 9 months ago
Parameter space exploration with Gaussian process trees
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
Robert B. Gramacy, Herbert K. H. Lee, William G. M...
WABI
2009
Springer
117views Bioinformatics» more  WABI 2009»
14 years 3 months ago
A Simulation Study Comparing Supertree and Combined Analysis Methods Using SMIDGen
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...
M. Shel Swenson, François Barbançon,...
DAC
1999
ACM
14 years 25 days ago
Parallel Mixed-Level Power Simulation Based on Spatio-Temporal Circuit Partitioning
: In this work we propose a technique for spatial and temporal partitioning of a logic circuit based on the nodes activity computed by using a simulation at an higher level of ion....
Mauro Chinosi, Roberto Zafalon, Carlo Guardiani
KBSE
1997
IEEE
14 years 1 days ago
Exploiting Domain-Specific Knowledge to Refine Simulation Specifications
This paper discusses our approach to the problem of refining high-level simulation specifications. Our domain is simulated combat training for tank platoon members. Our input is a...
David Pautler, Steven Woods, Alex Quilici
IJON
2002
103views more  IJON 2002»
13 years 8 months ago
RBF networks training using a dual extended Kalman filter
: A new supervised learning procedure for training RBF networks is proposed. It uses a pair of parallel running Kalman filters to sequentially update both the output weights and th...
Iulian B. Ciocoiu