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SMA
2005
ACM
132views Solid Modeling» more  SMA 2005»
15 years 5 months ago
Simplified engineering analysis via medial mesh reduction
Numerous simplification methods have been proposed for speeding up engineering analysis/ simulation. A recently proposed medial axis reduction is one such method, that is particul...
Murari Sinha, Krishnan Suresh
ICML
1999
IEEE
16 years 20 days ago
Approximation Via Value Unification
: Numerical function approximation over a Boolean domain is a classical problem with wide application to data modeling tasks and various forms of learning. A great many function ap...
Paul E. Utgoff, David J. Stracuzzi
ICML
2005
IEEE
16 years 20 days ago
Compact approximations to Bayesian predictive distributions
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Edward Snelson, Zoubin Ghahramani
AAAI
2008
15 years 2 months ago
Incremental Algorithms for Approximate Compilation
Compilation is an important approach to a range of inference problems, since it enables linear-time inference in the size S of the compiled representation. However, the main drawb...
Alberto Venturini, Gregory M. Provan
CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
15 years 4 months ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen