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ESANN
2004
13 years 9 months ago
An informational energy LVQ approach for feature ranking
Input feature ranking and selection represent a necessary preprocessing stage in classification, especially when one is required to manage large quantities of data. We introduce a ...
Razvan Andonie, Angel Cataron
ICSE
2003
IEEE-ACM
14 years 7 months ago
Component Rank: Relative Significance Rank for Software Component Search
Collections of already developed programs are important resources for efficient development of reliable software systems. In this paper, we propose a novel method of ranking softw...
Katsuro Inoue, Reishi Yokomori, Hikaru Fujiwara, T...
ICML
2002
IEEE
14 years 8 months ago
Cranking: Combining Rankings Using Conditional Probability Models on Permutations
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
Guy Lebanon, John D. Lafferty
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 5 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
JMLR
2010
118views more  JMLR 2010»
13 years 2 months ago
Learning to Rank for Personalized News Article Retrieval
This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...
Lorand Dali, Blaz Fortuna, Jan Rupnik