Sciweavers

24 search results - page 1 / 5
» Exploring the Performance of Resampling Strategies for the C...
Sort
View
IEAAIE
2010
Springer
13 years 2 months ago
Exploring the Performance of Resampling Strategies for the Class Imbalance Problem
The present paper studies the influence of two distinct factors on the performance of some resampling strategies for handling imbalanced data sets. In particular, we focus on the n...
Vicente García, José Salvador S&aacu...
AI
2001
Springer
13 years 9 months ago
Concept-Learning in the Presence of Between-Class and Within-Class Imbalances
In a concept learning problem, imbalances in the distribution of the data can occur either between the two classes or within a single class. Yet, although both types of imbalances ...
Nathalie Japkowicz
ICASSP
2011
IEEE
12 years 8 months ago
Online learning with minority class resampling
This paper considers using online binary classification for target detection where the goal is to identify signals of interest within a sequence of received signals generated by ...
Michael J. Pekala, Ashley J. Llorens
ISCI
2008
124views more  ISCI 2008»
13 years 4 months ago
A weighted rough set based method developed for class imbalance learning
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
Jinfu Liu, Qinghua Hu, Daren Yu
ISNN
2009
Springer
13 years 11 months ago
Use of Ensemble Based on GA for Imbalance Problem
In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifie...
Laura Cleofas, Rosa Maria Valdovinos, Vicente Garc...