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DATAMINE
2006
127views more  DATAMINE 2006»
13 years 9 months ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen
CORR
2010
Springer
118views Education» more  CORR 2010»
13 years 8 months ago
Large scale probabilistic available bandwidth estimation
The common utilization-based definition of available bandwidth and many of the existing tools to estimate it suffer from several important weaknesses: i) most tools report a point...
Frederic Thouin, Mark Coates, Michael G. Rabbat
TVCG
2010
165views more  TVCG 2010»
13 years 7 months ago
A Visual Backchannel for Large-Scale Events
—We introduce the concept of a Visual Backchannel as a novel way of following and exploring online conversations about large-scale events. Microblogging communities, such as Twit...
Marian Dörk, Daniel M. Gruen, Carey Williamso...
CONEXT
2009
ACM
13 years 10 months ago
BUFFALO: bloom filter forwarding architecture for large organizations
In enterprise and data center networks, the scalability of the data plane becomes increasingly challenging as forwarding tables and link speeds grow. Simply building switches with...
Minlan Yu, Alex Fabrikant, Jennifer Rexford
AAAI
2006
13 years 10 months ago
A Two-Step Hierarchical Algorithm for Model-Based Diagnosis
For many large systems the computational complexity of complete model-based diagnosis is prohibitive. In this paper we investigate the speedup of the diagnosis process by exploiti...
Alexander Feldman, Arjan J. C. van Gemund