864 search results - page 40 / 173 » The Feature Importance Ranking Measure |
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
116
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KDD
2008
ACM
15 years 10 months ago
2008
ACM
Many feature selection algorithms have been proposed in the past focusing on improving classification accuracy. In this work, we point out the importance of stable feature selecti...
TRECVID
2008
14 years 11 months ago
2008
This paper describes our participations of LIG and LIRIS to the TRECVID 2008 High Level Features detection task. We evaluated several fusion strategies and especially rank fusion....
124
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CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
ADMA
2005
Springer
15 years 3 months ago
2005
Springer
In real-world data mining applications, an accurate ranking is same important to a accurate classification. Naive Bayes (simply NB) has been widely used in data mining as a simple...