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» The Feature Importance Ranking Measure
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BMCBI
2010
224views more  BMCBI 2010»
14 years 9 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
EDBT
2010
ACM
246views Database» more  EDBT 2010»
15 years 4 months ago
Fast computation of SimRank for static and dynamic information networks
Information networks are ubiquitous in many applications and analysis on such networks has attracted significant attention in the academic communities. One of the most important ...
Cuiping Li, Jiawei Han, Guoming He, Xin Jin, Yizho...
BMCBI
2011
14 years 1 months ago
Evaluating methods for ranking differentially expressed genes applied to MicroArray Quality Control data
Background: Statistical methods for ranking differentially expressed genes (DEGs) from gene expression data should be evaluated with regard to high sensitivity, specificity, and r...
Koji Kadota, Kentaro Shimizu
TRECVID
2008
14 years 11 months ago
IRIM at TRECVID 2008: High Level Feature Extraction
The IRIM group is a consortium of French teams working on Multimedia Indexing and Retrieval. This paper describes our participation to the TRECVID 2008 High Level Features detecti...
Hervé Glotin, Zhongqui Zhao, Stéphan...
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
15 years 4 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa