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HPCN
1999
Springer
15 years 10 months ago
Data Intensive Distributed Computing; A Medical Application Example
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Jason Lee, Brian Tierney, William E. Johnston
FQAS
2004
Springer
122views Database» more  FQAS 2004»
15 years 9 months ago
Simplification of Integrity Constraints with Aggregates and Arithmetic Built-Ins
In the context of relational as well as deductive databases, correct and efficient integrity checking is a crucial issue, as, without any guarantee of data consistency, the answers...
Davide Martinenghi
CISS
2011
IEEE
14 years 9 months ago
Improving aggregated forecasts of probability
—The Coherent Approximation Principle (CAP) is a method for aggregating forecasts of probability from a group of judges by enforcing coherence with minimal adjustment. This paper...
Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poo...
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 7 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
FGCS
2000
143views more  FGCS 2000»
15 years 5 months ago
A data intensive distributed computing architecture for "Grid" applications
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Brian Tierney, William E. Johnston, Jason Lee, Mar...