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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 7 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
TITB
2010
128views Education» more  TITB 2010»
15 years 28 days ago
Data-Centric Privacy Protocol for Intensive Care Grids
Abstract--Modern e-Health systems require advanced computing and storage capabilities, leading to the adoption of technologies like the grid and giving birth to novel health grid s...
J. Luna, Marios D. Dikaiakos, Manolis Marazakis, T...
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
16 years 6 months ago
ANF: a fast and scalable tool for data mining in massive graphs
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
Christopher R. Palmer, Phillip B. Gibbons, Christo...
CEC
2007
IEEE
15 years 10 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
ICCSA
2010
Springer
15 years 11 months ago
Geospatial Analysis of Cooperative Works on Asymmetric Information Environment
In the so-called Information-Explosion Era, astronomical amount of information is ubiquitously produced and digitally stored. It is getting more and more convenient for cooperative...
Tetsuya Kusuda, Tetsuro Ogi