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» Compiling Bayesian Networks Using Variable Elimination
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ASPLOS
1998
ACM
13 years 11 months ago
Cache-Conscious Data Placement
As the gap between memory and processor speeds continues to widen, cache efficiency is an increasingly important component of processor performance. Compiler techniques have been...
Brad Calder, Chandra Krintz, Simmi John, Todd M. A...
NIPS
2007
13 years 9 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
ISDA
2008
IEEE
14 years 1 months ago
Performance Comparison of ADRS and PCA as a Preprocessor to ANN for Data Mining
In this paper we compared the performance of the Automatic Data Reduction System (ADRS) and principal component analysis (PCA) as a preprocessor to artificial neural networks (ANN...
Nicholas Navaroli, David Turner, Arturo I. Concepc...
FLAIRS
2007
13 years 9 months ago
System Diagnosability Analysis Using p-slop MAP
Researchers have reported successful deployments of diagnosis decision support systems based on Bayesian networks. However, the methodology for evaluating the diagnosability for s...
Tsai-Ching Lu, K. Wojtek Przytula
IROS
2006
IEEE
132views Robotics» more  IROS 2006»
14 years 1 months ago
A Bayesian Framework for Landing Site Selection during Autonomous Spacecraft Descent
– The success of a landed space exploration mission depends largely on the final landing site. Factors influencing site selection include safety, fuel-consumption, and scientific...
Navid Serrano