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129
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IUI
2010
ACM
15 years 9 months ago
Automatically identifying targets users interact with during real world tasks
Information about the location and size of the targets that users interact with in real world settings can enable new innovations in human performance assessment and software usab...
Amy Hurst, Scott E. Hudson, Jennifer Mankoff
129
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ROBOCUP
1997
Springer
134views Robotics» more  ROBOCUP 1997»
15 years 6 months ago
Co-evolving Soccer Softbot Team Coordination with Genetic Programming
In this paper we explain how we applied genetic programming to behavior-based team coordination in the RoboCup Soccer Server domain. Genetic programming is a promising new method f...
Sean Luke, Charles Hohn, Jonathan Farris, Gary Jac...
120
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CEC
2010
IEEE
15 years 3 months ago
Generating a novel sort algorithm using Reinforcement Programming
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
Spencer K. White, Tony R. Martinez, George L. Rudo...
125
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GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 6 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
122
Voted
ICML
2007
IEEE
16 years 3 months ago
Hybrid huberized support vector machines for microarray classification
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
Li Wang, Ji Zhu, Hui Zou