38 search results - page 1 / 8 » Learning to Rank by Maximizing AUC with Linear Programming |
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
ROCAI
2004
Springer
13 years 9 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 ...
ICMCS
2006
IEEE
13 years 10 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...
NIPS
2008
13 years 5 months ago
2008
The ROC curve is known to be the golden standard for measuring performance of a test/scoring statistic regarding its capacity of discrimination between two populations in a wide v...
SDM
2007
SIAM
13 years 5 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...