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» Selective association rule generation
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ICTAI
1992
IEEE
15 years 8 months ago
Genetic Algorithms as a Tool for Feature Selection in Machine Learning
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
Haleh Vafaie, Kenneth A. De Jong
JOCN
2010
81views more  JOCN 2010»
15 years 2 months ago
Item Retrieval and Competition in Noun and Verb Generation: An fMRI Study
■ Selection between competing responses and stimulus-response association strength is thought to affect performance during verb generation. However, the specific contribution of...
Cristiano Crescentini, Tim Shallice, Emiliano Maca...
AMAST
2008
Springer
15 years 6 months ago
Generating Specialized Rules and Programs for Demand-Driven Analysis
Many complex analysis problems can be most clearly and easily specified as logic rules and queries, where rules specify how given facts can be combined to infer new facts, and quer...
K. Tuncay Tekle, Katia Hristova, Yanhong A. Liu
PR
2006
80views more  PR 2006»
15 years 4 months ago
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
ACIVS
2008
Springer
15 years 10 months ago
Fuzzy Rule Iterative Feature Selection (FRIFS) with Respect to the Choquet Integral Apply to Fabric Defect Recognition
An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on...
Emmanuel Schmitt, Vincent Bombardier, Laurent Wend...