13 search results - page 1 / 3 » Machine Learning for Imbalanced Datasets: Application in Med... |
FLAIRS
2006
13 years 6 months ago
2006
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
ECML
2004
Springer
13 years 10 months ago
2004
Springer
Support Vector Machines (SVM) have been extensively studied and have shown remarkable success in many applications. However the success of SVM is very limited when it is applied to...
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...
HIS
2008
13 years 6 months ago
2008
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
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 ...