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» Relevance heuristics for program analysis
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ICCAD
2006
IEEE
125views Hardware» more  ICCAD 2006»
14 years 4 months ago
Performance analysis of concurrent systems with early evaluation
Early evaluation allows to execute operations when enough information at the inputs has been received to determine the value at the outputs. Systems that can tolerate variable-lat...
Jorge Júlvez, Jordi Cortadella, Michael Kis...
CEC
2005
IEEE
14 years 1 months ago
Sequential parameter optimization
Abstract- Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate...
Thomas Bartz-Beielstein, Christian Lasarczyk, Mike...
CAIP
2005
Springer
102views Image Analysis» more  CAIP 2005»
14 years 1 months ago
Improvement of a Person Labelling Method Using Extracted Knowledge on Costume
This paper presents a novel approach for automatic person labelling in video sequences using costumes. The person recognition is carried out by extracting the costumes of all the p...
Gaël Jaffré, Philippe Joly
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
13 years 11 months ago
The no free lunch and realistic search algorithms
The No-Free-Lunch theorems (NFLTs) are criticized for being too general to be of any relevance to the real world scenario. This paper investigates, both formally and empirically, ...
Yossi Borenstein, Riccardo Poli
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
14 years 1 months ago
Meta-optimizing semantic evolutionary search
I present MOSES (meta-optimizing semantic evolutionary search), a new probabilistic modeling (estimation of distribution) approach to program evolution. Distributions are not esti...
Moshe Looks