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UAI
1997
13 years 10 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
GECCO
2010
Springer
211views Optimization» more  GECCO 2010»
13 years 9 months ago
Investigating EA solutions for approximate KKT conditions in smooth problems
Evolutionary algorithms (EAs) are increasingly being applied to solve real-parameter optimization problems due to their flexibility in handling complexities such as non-convexity,...
Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joyd...
ICCD
2002
IEEE
257views Hardware» more  ICCD 2002»
14 years 5 months ago
Requirements for Automotive System Engineering Tools
The requirements to system and software development tools brought up by the automotive industry differ from the requirements that other customers have. The important catchwords he...
Joachim Schlosser
MICRO
2006
IEEE
127views Hardware» more  MICRO 2006»
14 years 2 months ago
A Predictive Performance Model for Superscalar Processors
Designing and optimizing high performance microprocessors is an increasingly difficult task due to the size and complexity of the processor design space, high cost of detailed si...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
STACS
1999
Springer
14 years 24 days ago
Lower Bounds for Dynamic Algebraic Problems
Abstract. We consider dynamic evaluation of algebraic functions (matrix multiplication, determinant, convolution, Fourier transform, etc.) in the model of Reif and Tate; i.e., if f...
Gudmund Skovbjerg Frandsen, Johan P. Hansen, Peter...