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JMLR
2008
230views more  JMLR 2008»
13 years 7 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...
STOC
2010
ACM
211views Algorithms» more  STOC 2010»
14 years 16 days ago
Distributed Computation in Dynamic Networks
In this paper we investigate distributed computation in dynamic networks in which the network topology changes from round to round. We consider a worst-case model in which the com...
Fabian Kuhn, Nancy Lynch and Rotem Oshman
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 5 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
SIGECOM
2003
ACM
134views ECommerce» more  SIGECOM 2003»
14 years 28 days ago
Correlated equilibria in graphical games
We examine correlated equilibria in the recently introduced formalism of graphical games, a succinct representation for multiplayer games. We establish a natural and powerful rela...
Sham Kakade, Michael J. Kearns, John Langford, Lui...
COOPIS
2004
IEEE
13 years 11 months ago
Performance Evaluation of JXTA Rendezvous
Project JXTA is the first peer-to-peer application development infrastructure, consisting of standard protocols and multi-language implementations. A JXTA peer network is a comple...
Emir Halepovic, Ralph Deters, Bernard Traversat