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CP
2007
Springer
14 years 2 months ago
Advisors for Incremental Propagation
Abstract. While incremental propagation for global constraints is recognized to be important, little research has been devoted to how propagator-centered constraint programming sys...
Mikael Z. Lagerkvist, Christian Schulte
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
14 years 8 days ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...
ML
1998
ACM
136views Machine Learning» more  ML 1998»
13 years 8 months ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair
CHI
2004
ACM
14 years 9 months ago
Automatic support for web user studies with SCONE and TEA
This paper describes the concepts of TEA, a flexible tool that supports user tests by automating repetitive tasks and collecting data of user inputs and actions. TEA was specifica...
Hartmut Obendorf, Harald Weinreich, Torsten Hass
CCR
2006
118views more  CCR 2006»
13 years 8 months ago
Tmix: a tool for generating realistic TCP application workloads in ns-2
In order to perform realistic network simulations, one needs a traffic generator that is capable of generating realistic synthetic traffic in a closed-loop fashion that "look...
Michele C. Weigle, Prashanth Adurthi, Félix...