59 search results - page 2 / 12 » Learning Decision Trees Using the Area Under the ROC Curve |
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
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...
NIPS
2004
13 years 6 months ago
2004
In many applications, good ranking is a highly desirable performance for a classifier. The criterion commonly used to measure the ranking quality of a classification algorithm is ...
JMLR
2006
13 years 5 months ago
2006
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
FLAIRS
2008
13 years 7 months ago
2008
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...