99 search results - page 14 / 20 » Ranking and Scoring Using Empirical Risk Minimization |
JMLR
2002
14 years 9 months ago
2002
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper introduces a novel regularization strategy to address the generalization issues for large-margin classifiers from the Empirical Risk Minimization (ERM) perspective. Fi...
SIGIR
2004
ACM
15 years 3 months ago
2004
ACM
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
ICMCS
2006
IEEE
15 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...
NAACL
2003
14 years 11 months ago
2003
Evaluating competing technologies on a common problem set is a powerful way to improve the state of the art and hasten technology transfer. Yet poorly designed evaluations can was...