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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
14 years 10 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
GPEM
2000
121views more  GPEM 2000»
14 years 9 months ago
Bayesian Methods for Efficient Genetic Programming
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
Byoung-Tak Zhang
IDEAL
2009
Springer
14 years 7 months ago
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool
This work is related to the KEEL1 (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an ...
Alberto Fernández, Julián Luengo, Jo...
TE
2010
70views more  TE 2010»
14 years 4 months ago
A Cost-Effective Atomic Force Microscope for Undergraduate Control Laboratories
Abstract--This paper presents a simple, cost-effective and robust atomic force microscope (AFM), which has been purposely designed and built for use as a teaching aid in undergradu...
Colin N. Jones, Jorge Gonçalves
CHI
2011
ACM
14 years 1 months ago
Target assistance for subtly balancing competitive play
In games where skills such as targeting are critical to winning, it is difficult for players with different skill levels to have a competitive and engaging experience. Although se...
Scott Bateman, Regan L. Mandryk, Tadeusz Stach, Ca...