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» Uniform Approximations for Transcendental Functions
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UAI
1997
13 years 8 months ago
A Scheme for Approximating Probabilistic Inference
This paper describes a class ofprobabilistic approximation algorithms based on bucket elimination which o er adjustable levels of accuracy ande ciency. We analyzethe approximation...
Rina Dechter, Irina Rish
PG
2007
IEEE
14 years 1 months ago
Precomputed Visibility Cuts for Interactive Relighting with Dynamic BRDFs
This paper presents a novel PRT-based method that uses precomputed visibility cuts for interactive relighting with all-frequency environment maps and arbitrary dynamic BRDFs. Our ...
Oskar Åkerlund, Mattias Unger, Rui Wang
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
14 years 7 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
IDA
2002
Springer
13 years 7 months ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel
FCCM
2006
IEEE
138views VLSI» more  FCCM 2006»
13 years 11 months ago
Efficient Hardware Generation of Random Variates with Arbitrary Distributions
This paper presents a technique for efficiently generating random numbers from a given probability distribution. This is achieved by using a generic hardware architecture, which t...
David B. Thomas, Wayne Luk