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ACG
2003
Springer
14 years 1 months ago
Monte-Carlo Go Developments
We describe two Go programs,  ¢¡¤£¦¥ and  ¢¡¤§¨£ , developed by a Monte-Carlo approach that is simpler than Bruegmann’s (1993) approach. Our method is based on Abra...
Bruno Bouzy, Bernard Helmstetter
SIGMOD
2005
ACM
138views Database» more  SIGMOD 2005»
14 years 8 months ago
Automatic Physical Database Tuning: A Relaxation-based Approach
In recent years there has been considerable research on automated selection of physical design in database systems. In current solutions, candidate access paths are heuristically ...
Nicolas Bruno, Surajit Chaudhuri
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
14 years 1 months ago
Adapting Representation in Genetic Programming
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees....
Cezary Z. Janikow
LION
2010
Springer
209views Optimization» more  LION 2010»
14 years 22 days ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
AAAI
2008
13 years 10 months ago
Fast Planning by Search in Domain Transition Graph
Recent advances in classical planning have used the SAS+ formalism, and several effective heuristics have been developed based on the SAS+ formalism. Comparing to the traditional ...
Yixin Chen, Ruoyun Huang, Weixiong Zhang