97 search results - page 5 / 20 » An Empirical Evaluation of Supervised Learning for ROC Area |
AIIA
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In a recent work we have carried out CarpeDiem, a novel algorithm for the fast evaluation of Supervised Sequential Learning (SSL) classifiers. In this paper we point out...
NIPS
2008
13 years 11 months ago
2008
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
ICMCS
2006
IEEE
14 years 3 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...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
In this paper we analyze the most popular evaluation metrics for separate-and-conquer rule learning algorithms. Our results show that all commonly used heuristics, including accur...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...