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» Informative sampling for large unbalanced data sets
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144
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MIRAGE
2007
Springer
15 years 9 months ago
Fitting Subdivision Surface Models to Noisy and Incomplete 3-D Data
Abstract. We describe an algorithm for fitting a Catmull-Clark subdivision surface model to an unstructured, incomplete and noisy data set. We complete the large missing data regi...
Spela Ivekovic, Emanuele Trucco
IPPS
2002
IEEE
15 years 8 months ago
Predicting the Performance of Wide Area Data Transfers
As Data Grids become more commonplace, large data sets are being replicated and distributed to multiple sites, leading to the problem of determining which replica can be accessed ...
Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. F...
143
Voted
ICFEM
2010
Springer
15 years 2 months ago
Making the Right Cut in Model Checking Data-Intensive Timed Systems
Abstract. The success of industrial-scale model checkers such as Uppaal [3] or NuSMV [12] relies on the efficiency of their respective symbolic state space representations. While d...
Rüdiger Ehlers, Michael Gerke 0002, Hans-J&ou...
143
Voted
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 7 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
151
Voted
ITICSE
1996
ACM
15 years 7 months ago
An interactive environment for the teaching of computer architecture
The operation of a computer can be conceptualised as a large, discrete and constantly changing set of state information. However even for the simplest uni-processor the data set o...
Paul S. Coe, Laurence M. Williams, Roland N. Ibbet...