61 search results - page 2 / 13 » Active Learning to Maximize Area Under the ROC Curve |
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 ...
BMCBI
2010
13 years 5 months ago
2010
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
DATAMINE
2008
13 years 5 months ago
2008
Rules are commonly used for classification because they are modular, intelligible and easy to learn. Existing work in classification rule learning assumes the goal is to produce ca...
IJCAI
2007
13 years 6 months ago
2007
: This article presents the method of Support Vectors Machines (SVM) for predicting probability of survival in critically ill patients by using Platt’s method to fit a sigmoid1 ....
ICML
2002
IEEE
14 years 6 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...