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CN
2007
129views more  CN 2007»
15 years 6 months ago
Machine-learnt versus analytical models of TCP throughput
We first study the accuracy of two well-known analytical models of the average throughput of long-term TCP flows, namely the so-called SQRT and PFTK models, and show that these ...
Ibtissam El Khayat, Pierre Geurts, Guy Leduc
JCSS
2006
56views more  JCSS 2006»
15 years 6 months ago
Determining model accuracy of network traces
Accurate network modeling is critical to the design of network protocols. Traditional modeling approaches, such as Discrete Time Markov Chains (DTMC) are limited in their ability ...
Almudena Konrad, Ben Y. Zhao, Anthony D. Joseph
181
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JMLR
2006
103views more  JMLR 2006»
15 years 6 months ago
On Model Selection Consistency of Lasso
Sparsity or parsimony of statistical models is crucial for their proper interpretations, as in sciences and social sciences. Model selection is a commonly used method to find such...
Peng Zhao, Bin Yu
IANDC
2007
84views more  IANDC 2007»
15 years 6 months ago
The perfectly synchronized round-based model of distributed computing
ectly-synchronized round-based model provides the powerful abstraction of op failures with atomic and synchronous message delivery. This abstraction makes distributed programming ...
Carole Delporte-Gallet, Hugues Fauconnier, Rachid ...
AUTOMATICA
2005
152views more  AUTOMATICA 2005»
15 years 6 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
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