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SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
15 years 6 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
14 years 4 months ago
A distributed Newton method for Network Utility Maximization
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
Ermin Wei, Asuman E. Ozdaglar, Ali Jadbabaie
CORR
2006
Springer
100views Education» more  CORR 2006»
14 years 9 months ago
Pivotal and Pivotal-discriminative Consequence Relations
In the present paper, we investigate consequence relations that are both paraconsistent and plausible (but still monotonic). More precisely, we put the focus on pivotal consequenc...
Jonathan Ben-Naim
96
Voted
CORR
2008
Springer
118views Education» more  CORR 2008»
14 years 9 months ago
Distributed Constrained Optimization with Semicoordinate Transformations
Recent work has shown how information theory extends conventional full-rationality game theory to allow bounded rational agents. The associated mathematical framework can be used ...
William G. Macready, David Wolpert
CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 8 months ago
Structural Solutions to Dynamic Scheduling for Multimedia Transmission in Unknown Wireless Environments
In this paper, we propose a systematic solution to the problem of scheduling delay-sensitive media data for transmission over time-varying wireless channels. We first formulate th...
Fangwen Fu, Mihaela van der Schaar