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VLDB
2004
ACM
117views Database» more  VLDB 2004»
15 years 9 months ago
Discovering and Ranking Semantic Associations over a Large RDF Metabase
Information retrieval over semantic metadata has recently received a great amount of interest in both industry and academia. In particular, discovering complex and meaningful rela...
Christian Halaschek-Wiener, Boanerges Aleman-Meza,...
COLT
2006
Springer
15 years 8 months ago
Ranking with a P-Norm Push
We are interested in supervised ranking with the following twist: our goal is to design algorithms that perform especially well near the top of the ranked list, and are only requir...
Cynthia Rudin
DAGSTUHL
2003
15 years 5 months ago
Ranked representation of vector fields
Abstract Browsing and visualizing large datasets is often a tedious chore. Locating features, especially in a wavelet transform domain is usually offered as a possible solution. W...
Bala Krishna Nakshatrala, David Thompson, Raghu Ma...
GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
15 years 5 months ago
An estimation distribution algorithm with the spearman's rank correlation index
This article arguments that rank correlation coefficients are powerful association measures and how can they be adopted by EDAs. A new EDA implements the proposed ideas: the Non-P...
Arturo Hernández Aguirre, Enrique Raú...
ICASSP
2011
IEEE
14 years 8 months ago
Sparse variable reduced rank regression via Stiefel optimization
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Magnus O. Ulfarsson, Victor Solo