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» Feature selection through gravitational search algorithm
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CSB
2004
IEEE
149views Bioinformatics» more  CSB 2004»
15 years 3 months ago
Weighting Features to Recognize 3D Patterns of Electron Density in X-Ray Protein Crystallography
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
Kreshna Gopal, Tod D. Romo, James C. Sacchettini, ...
BMCBI
2007
166views more  BMCBI 2007»
14 years 12 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour
CDC
2009
IEEE
208views Control Systems» more  CDC 2009»
15 years 29 days ago
Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...
Dragana Bajovic, Bruno Sinopoli, João Xavie...
VLDB
2005
ACM
119views Database» more  VLDB 2005»
15 years 5 months ago
Database-Inspired Search
“W3QL: A Query Language for the WWW”, published in 1995, presented a language with several distinctive features. Employing existing indexes as access paths, it allowed the sel...
David Konopnicki, Oded Shmueli
SIGIR
2012
ACM
13 years 2 months ago
Cognos: crowdsourcing search for topic experts in microblogs
Finding topic experts on microblogging sites with millions of users, such as Twitter, is a hard and challenging problem. In this paper, we propose and investigate a new methodolog...
Saptarshi Ghosh, Naveen Kumar Sharma, Fabrí...