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INFOCOM
2010
IEEE
15 years 2 months ago
Incorporating Random Linear Network Coding for Peer-to-Peer Network Diagnosis
—Recent studies show that network coding improves multicast session throughput. In this paper, we demonstrate how random linear network coding can be incorporated to provide netw...
Elias Kehdi, Baochun Li
ICML
2004
IEEE
16 years 5 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
COLT
2006
Springer
15 years 8 months ago
Online Learning Meets Optimization in the Dual
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
ML
2007
ACM
131views Machine Learning» more  ML 2007»
15 years 3 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
ECTEL
2007
Springer
15 years 10 months ago
The Demise of eAssessment Interoperability?
This paper examines progress made in the development of formats for the exchange of questions, tests and results. It is argued that despite large investments by vendors and educati...
Niall Sclater