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» Set cover algorithms for very large datasets
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LREC
2010
206views Education» more  LREC 2010»
13 years 10 months ago
Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain
In this paper we evaluate the performance of multilabel classification algorithms on the EUR-Lex database of legal documents of the European Union. On the same set of underlying d...
Eneldo Loza Mencía, Johannes Fürnkranz
BMCBI
2008
133views more  BMCBI 2008»
13 years 8 months ago
A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data
Background: Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible f...
Luca Corradi, Marco Fato, Ivan Porro, Silvia Scagl...
SCANGIS
2003
13 years 9 months ago
Matching of Datasets
A multiple representation database contains several geographic datasets defined at different resolutions covering the same area. Objects within the different datasets that repre...
Mats Dunkars
VTS
2003
IEEE
127views Hardware» more  VTS 2003»
14 years 1 months ago
Bist Reseeding with very few Seeds
Reseeding is used to improve fault coverage of pseudorandom testing. The seed corresponds to the initial state of the LFSR before filling the scan chain. The number of determinist...
Ahmad A. Al-Yamani, Subhasish Mitra, Edward J. McC...
VVS
1995
IEEE
132views Visualization» more  VVS 1995»
13 years 12 months ago
Multi-Dimensional Trees for Controlled Volume Rendering and Compression
This paper explores the use of multi-dimensional trees to provide spatial and temporal e ciencies in imaging large data sets. Each node of the tree contains a model of the data in...
Jane Wilhelms, Allen Van Gelder