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» Approximate algorithms for neural-Bayesian approaches
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ANOR
2007
165views more  ANOR 2007»
15 years 6 months ago
Financial scenario generation for stochastic multi-stage decision processes as facility location problems
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
Ronald Hochreiter, Georg Ch. Pflug
CGF
2008
122views more  CGF 2008»
15 years 6 months ago
Accurate Shadows by Depth Complexity Sampling
The accurate generation of soft shadows is a particularly computationally intensive task. In order to reduce rendering time, most real-time and offline applications decorrelate th...
Vincent Forest, Loïc Barthe, Mathias Paulin
CVGIP
2007
136views more  CVGIP 2007»
15 years 6 months ago
Contour-based surface reconstruction using MPU implicit models
This paper presents a technique for creating a smooth, closed surface from a set of 2D contours, which have been extracted from a 3D scan. The technique interprets the pixels that...
Ilya Braude, Jeffrey Marker, Ken Museth, Jonathan ...
TEC
2008
104views more  TEC 2008»
15 years 5 months ago
Coevolution of Fitness Predictors
Abstract--We present an algorithm that coevolves fitness predictors, optimized for the solution population, which reduce fitness evaluation cost and frequency, while maintaining ev...
Michael D. Schmidt, Hod Lipson
TSP
2008
86views more  TSP 2008»
15 years 5 months ago
Fixed-Complexity Soft MIMO Detection via Partial Marginalization
Abstract--This paper presents a new approach to soft demodulation for MIMO channels. The proposed method is an approximation to the exact a posteriori probability-per-bit computer....
Erik G. Larsson, Joakim Jalden