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» Informative sampling for large unbalanced data sets
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AI
2010
Springer
13 years 5 months ago
Elicitation strategies for soft constraint problems with missing preferences: Properties, algorithms and experimental studies
We consider soft constraint problems where some of the preferences may be unspecified. This models, for example, settings where agents are distributed and have privacy issues, or ...
Mirco Gelain, Maria Silvia Pini, Francesca Rossi, ...
BMCBI
2010
113views more  BMCBI 2010»
13 years 5 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
CORR
2007
Springer
99views Education» more  CORR 2007»
13 years 5 months ago
Fast Selection of Spectral Variables with B-Spline Compression
The large number of spectral variables in most data sets encountered in spectral chemometrics often renders the prediction of a dependent variable uneasy. The number of variables ...
Fabrice Rossi, Damien François, Vincent Wer...
TPDS
2008
80views more  TPDS 2008»
13 years 5 months ago
Scalable and Efficient End-to-End Network Topology Inference
To construct an efficient overlay network, the information of underlay is important. We consider using end-to-end measurement tools such as traceroute to infer the underlay topolog...
Xing Jin, Wanqing Tu, S.-H. Gary Chan
ETT
2002
128views Education» more  ETT 2002»
13 years 5 months ago
Geographical and temporal characteristics of inter-POP flows: View from a single pop
In this paper, we study traffic demands in an IP bacbkone, identify the routes used by these demands, and evaluate traffic granularity levels that are attractive for improving the...
Supratik Bhattacharyya, Christophe Diot, Nina Taft...