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CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 6 months ago
Robustness, Risk, and Regularization in Support Vector Machines
We consider two new formulations for classification problems in the spirit of support vector machines based on robust optimization. Our formulations are designed to build in prote...
Huan Xu, Shie Mannor, Constantine Caramanis
CN
2006
93views more  CN 2006»
15 years 6 months ago
Revisiting unfairness in Web server scheduling
This paper uses trace-driven simulation to study the unfairness properties of Web server scheduling strategies, such as Processor Sharing (PS) and Shortest Remaining Processing Ti...
Mingwei Gong, Carey L. Williamson
CORR
2007
Springer
94views Education» more  CORR 2007»
15 years 6 months ago
Statistical tools to assess the reliability of self-organizing maps
Results of neural network learning are always subject to some variability, due to the sensitivity to initial conditions, to convergence to local minima, and, sometimes more dramat...
Eric de Bodt, Marie Cottrell, Michel Verleysen
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 6 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
IJSN
2007
73views more  IJSN 2007»
15 years 6 months ago
Optimal worm-scanning method using vulnerable-host distributions
: Most Internet worms use random scanning. The distribution of vulnerable hosts on the Internet, however, is highly non-uniform over the IP-address space. This implies that random ...
Zesheng Chen, Chuanyi Ji