28 search results - page 3 / 6 » Classification of weld flaws with imbalanced class data |
ISDA
2010
IEEE
13 years 3 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...
ICIP
2010
IEEE
13 years 3 months ago
2010
IEEE
Random forests ensemble classifier showed to be suitable for classifying mutlisource data such as lidar and RGB image for urban scene mapping. However, two major problems remain :...
AIPRF
2008
13 years 7 months ago
2008
Unsolicited commercial or bulk emails or emails containing viruses pose a great threat to the utility of email communications. A recent solution for filtering is reputation systems...
AUSAI
2009
Springer
13 years 9 months ago
2009
Springer
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
DAWAK
2008
Springer
13 years 7 months ago
2008
Springer
In many application domains, classification tasks have to tackle multiclass imbalanced training sets. We have been looking for a CBA approach (Classification Based on Association r...