23 search results - page 1 / 5 » Learning Classifiers from Imbalanced Data Based on Biased Mi... |
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
WWW
2007
ACM
14 years 5 months ago
2007
ACM
The Biased Minimax Probability Machine (BMPM) constructs a classifier which deals with the imbalanced learning tasks. In this paper, we propose a Second Order Cone Programming (SO...
AMAI
2004
Springer
13 years 10 months ago
2004
Springer
The Minimax Probability Machine (MPM) constructs a classifier, which provides a worst-case bound on the probability of misclassification of future data points based on reliable ...
ISDA
2010
IEEE
13 years 2 months ago
2010
IEEE
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...