23 search results - page 2 / 5 » Learning Classifiers from Imbalanced Data Based on Biased Mi... |
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
CORR
2002
Springer
13 years 4 months ago
2002
Springer
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
IGARSS
2010
12 years 11 months ago
2010
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
A new class of nonparametric algorithms for high-dimensional binary classification is proposed using cascades of low dimensional polynomial structures. Construction of polynomial ...