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» Feature Subset Selection Using a Genetic Algorithm
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CSDA
2008
128views more  CSDA 2008»
15 years 3 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
15 years 4 months ago
Exploiting the path of least resistance in evolution
Hereditary Repulsion (HR) is a selection method coupled with a fitness constraint that substantially improves the performance and consistency of evolutionary algorithms. This als...
Gearoid Murphy, Conor Ryan
ACAL
2007
Springer
15 years 9 months ago
Investigating a Hybrid Metaheuristic for Job Shop Rescheduling
Previous research has shown that artificial immune systems can be used to produce robust schedules in a manufacturing environment. The main goal is to develop building blocks (anti...
Salwani Abdullah, Uwe Aickelin, Edmund K. Burke, A...
CIKM
2008
Springer
15 years 5 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
ICML
2007
IEEE
16 years 3 months ago
The matrix stick-breaking process for flexible multi-task learning
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Ya Xue, David B. Dunson, Lawrence Carin