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CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 8 months ago
Ascending runs in dependent uniformly distributed random variables: Application to wireless networks
Nathalie Mitton, Katy Paroux, Bruno Sericola, S&ea...
DC
2010
13 years 8 months ago
The impact of randomization in smoothing networks
Marios Mavronicolas, Thomas Sauerwald
CORR
2006
Springer
103views Education» more  CORR 2006»
13 years 8 months ago
On Separation, Randomness and Linearity for Network Codes over Finite Fields
Siddharth Ray, Michelle Effros, Muriel Méda...
JMLR
2008
230views more  JMLR 2008»
13 years 8 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
JPDC
2006
67views more  JPDC 2006»
13 years 8 months ago
Randomized smoothing networks
Maurice Herlihy, Srikanta Tirthapura