Sciweavers

1175 search results - page 3 / 235
» Experimental perspectives on learning from imbalanced data
Sort
View
MICAI
2007
Springer
13 years 11 months ago
Taking Advantage of the Web for Text Classification with Imbalanced Classes
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
Rafael Guzmán-Cabrera, Manuel Montes-y-G&oa...
CSL
2006
Springer
13 years 5 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...
ARTMED
2006
70views more  ARTMED 2006»
13 years 5 months ago
Learning from imbalanced data in surveillance of nosocomial infection
Gilles Cohen, Melanie Hilario, Hugo Sax, Sté...
CI
2004
171views more  CI 2004»
13 years 5 months ago
A Multiple Resampling Method for Learning from Imbalanced Data Sets
Andrew Estabrooks, Taeho Jo, Nathalie Japkowicz
HIS
2008
13 years 7 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera