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WSC
1998
13 years 8 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
BMCBI
2010
142views more  BMCBI 2010»
13 years 7 months ago
pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree
Background: Likelihood-based phylogenetic inference is generally considered to be the most reliable classification method for unknown sequences. However, traditional likelihood-ba...
Frederick A. Matsen III, Robin B. Kodner, E. Virgi...
SGP
2004
13 years 10 months ago
Simplification and Improvement of Tetrahedral Models for Simulation
Most 3D mesh generation techniques require simplification and mesh improvement stages to prepare a tetrahedral model for efficient simulation. We have developed an algorithm that ...
Barbara Cutler, Julie Dorsey, Leonard McMillan
WSC
2007
13 years 9 months ago
Model-based measurement of situation awareness
Decision making in complex environments in the face of uncertain and missing information is a daunting task. We describe a modeling and simulation based approach to providing plan...
W. Scott Neal Reilly, Sean L. Guarino, Bret Kellih...
DATE
2002
IEEE
111views Hardware» more  DATE 2002»
14 years 13 days ago
A Linear-Centric Modeling Approach to Harmonic Balance Analysis
In this paper we propose a new harmonic balance simulation methodology based on a linear-centric modeling approach. A linear circuit representation of the nonlinear devices and as...
Peng Li, Lawrence T. Pileggi