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STOC
2003
ACM
152views Algorithms» more  STOC 2003»
14 years 4 months ago
Reducing truth-telling online mechanisms to online optimization
We describe a general technique for converting an online algorithm B to a truthtelling mechanism. We require that the original online competitive algorithm has certain "nicen...
Baruch Awerbuch, Yossi Azar, Adam Meyerson
BROADNETS
2007
IEEE
13 years 11 months ago
Reduced flow routing: Leveraging residual capacity to reduce blocking in GMPLS networks
— Traffic engineering has been extensively studied to maximize network resource utilization while minimizing call blocking [1]. As the the demand for high data rate services ove...
Xiaolan J. Zhang, Sun-il Kim, Steven S. Lumetta
ML
1998
ACM
102views Machine Learning» more  ML 1998»
13 years 4 months ago
Statistical Mechanics of Online Learning of Drifting Concepts: A Variational Approach
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
Renato Vicente, Osame Kinouchi, Nestor Caticha
ML
2007
ACM
131views Machine Learning» more  ML 2007»
13 years 4 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
NETGAMES
2006
ACM
13 years 10 months ago
On correctness of scalable multi-server state replication in online games
Massively Multiplayer Online Games (MMOG) require novel, scalable network architectures for a high amount of participating players in huge game worlds. Consequently, new and compl...
Jens Müller 0004, Andreas Gössling, Serg...