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» A Declarative Framework for Analysis and Optimization
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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 1 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
14 years 1 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
VLDB
2005
ACM
129views Database» more  VLDB 2005»
14 years 1 months ago
Sketching Streams Through the Net: Distributed Approximate Query Tracking
Emerging large-scale monitoring applications require continuous tracking of complex dataanalysis queries over collections of physicallydistributed streams. Effective solutions hav...
Graham Cormode, Minos N. Garofalakis
RT
2004
Springer
14 years 1 months ago
Realtime Caustics using Distributed Photon Mapping
With the advancements in realtime ray tracing and new global illumination algorithms we are now able to render the most important illumination effects at interactive rates. One of...
Johannes Günther, Ingo Wald, Philipp Slusalle...
INFOCOM
2003
IEEE
14 years 29 days ago
Robust Location Detection in Emergency Sensor Networks
— We propose a new framework for providing robust location detection in emergency response systems, based on the theory of identifying codes. The key idea of this approach is to ...
Saikat Ray, Rachanee Ungrangsi, Francesco De Pelle...