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CORR
2006
Springer
103views Education» more  CORR 2006»
15 years 3 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»
15 years 3 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...
NECO
2008
62views more  NECO 2008»
15 years 3 months ago
Random Neural Networks with Synchronized Interactions
Erol Gelenbe, Stelios Timotheou
IJBC
2007
39views more  IJBC 2007»
15 years 3 months ago
Optimal Path and Minimal Spanning Trees in Random Weighted Networks
Lidia A. Braunstein, Zhenhua Wu, Yiping Chen, Serg...