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IDA
2006
Springer
15 years 6 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...
ENTCS
2007
116views more  ENTCS 2007»
15 years 6 months ago
Co-Algebraic Models for Quantitative Spatial Logics
We introduce a class of coalgebraic models and a family of modal logics that support the specication of spatial properties of distributed applications. The evaluation of a formul...
Vincenzo Ciancia, Gian Luigi Ferrari
ML
1998
ACM
113views Machine Learning» more  ML 1998»
15 years 6 months ago
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
During a project examining the use of machine learning techniques for oil spill detection, we have encountered several essential questions that we believe deserve the attention of ...
Miroslav Kubat, Robert C. Holte, Stan Matwin
IDA
2010
Springer
15 years 5 months ago
GA-stacking: Evolutionary stacked generalization
Stacking is a widely used technique for combining classifiers and improving prediction accuracy. Early research in Stacking showed that selecting the right classifiers, their par...
Agapito Ledezma, Ricardo Aler, Araceli Sanch&iacut...
JSAC
2008
95views more  JSAC 2008»
15 years 5 months ago
Cognitive Medium Access: Constraining Interference Based on Experimental Models
In this paper we design a cognitive radio that can coexist with multiple parallel WLAN channels while abiding by an interference constraint. The interaction between both systems is...
Stefan Geirhofer, Lang Tong, Brian M. Sadler