20 search results - page 1 / 4 » Maximizing the Area under the ROC Curve with Decision Lists ... |
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
Decision lists (or ordered rule sets) have two attractive properties compared to unordered rule sets: they require a simpler classification procedure and they allow for a more co...
ROCAI
2004
Springer
13 years 10 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
BMCBI
2010
13 years 4 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...
ICDM
2006
IEEE
13 years 10 months ago
2006
IEEE
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
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...