1006 search results - page 118 / 202 » A Case Study for Learning from Imbalanced Data Sets |
RECOMB
2004
Springer
14 years 10 months ago
2004
Springer
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
COLT
2010
Springer
13 years 8 months ago
2010
Springer
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
JUCS
2010
13 years 8 months ago
2010
: In Collaborative Learning, groups of students work together using traditional and computer-based tools or applications. Participants are continuously moving and reorganizing in g...