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» Wrapper for Ranking Feature Selection
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EKAW
2010
Springer
13 years 6 months ago
Extending Open Rating Systems for Ontology Ranking and Reuse
Abstract. Ontology reuse saves costs and improves interoperability between ontologies. Knowing which ontology to reuse is difficult without having a quality assessment. We employ u...
Holger Lewen, Mathieu d'Aquin
IJSI
2008
104views more  IJSI 2008»
13 years 7 months ago
Attribute Selection for Numerical Databases that Contain Correlations
There are many correlated attributes in a database. Conventional attribute selection methods are not able to handle such correlations and tend to eliminate important rules that exi...
Taufik Djatna, Yasuhiko Morimoto
IJON
2007
134views more  IJON 2007»
13 years 7 months ago
Analysis of SVM regression bounds for variable ranking
This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
Alain Rakotomamonjy
IR
2010
13 years 6 months ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
14 years 2 months ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani