1605 search results - page 113 / 321 » Metric Learning to Rank |
156
Voted
NIPS
1997
15 years 4 months ago
1997
There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
142
Voted
ICML
2004
IEEE
15 years 9 months ago
2004
IEEE
This paper introduces RankOpt, a linear binary classifier which optimises the area under the ROC curve (the AUC). Unlike standard binary classifiers, RankOpt adopts the AUC stat...
132
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ASUNAM
2009
IEEE
15 years 10 months ago
2009
IEEE
—This paper presents a novel methodology for social network discovery based on the sensitivity coefficients of importance metrics, namely the Markov centrality of a node, a metr...
119
Voted
GECCO
2009
Springer
15 years 10 months ago
2009
Springer
The National Association for Stock Car Auto Racing (NASCAR) is currently the No. 1 spectator sport in the United States. However, the manner in which drivers are ranked to determi...
137
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WOB
2007
15 years 4 months ago
2007
Abstract. Gene Set Enrichment Analysis (GSEA) is a well-known technique used for studying groups of functionally related genes and their correlation with phenotype. This method cre...