17 search results - page 2 / 4 » Learning Mixtures of Localized Rules by Maximizing the Area ... |
ROCAI
2004
Springer
13 years 10 months ago
2004
Springer
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
When the goal is to achieve the best correct classification rate, cross entropy and mean squared error are typical cost functions used to optimize classifier performance. However,...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...