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» Models and Algorithms for Stochastic Online Scheduling
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ICML
2008
IEEE
14 years 9 months ago
Large scale manifold transduction
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
Michael Karlen, Jason Weston, Ayse Erkan, Ronan Co...
ISPDC
2005
IEEE
14 years 2 months ago
Adaptive window scheduling for a hierarchical agent system
DIET (Distributed Interactive Engineering Toolbox) is a toolbox for the construction of Network Enabled Server (NES) systems. For most NES systems, as for most grid middleware sys...
Holly Dail, Frederic Desprez
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
14 years 3 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...
ESA
2008
Springer
95views Algorithms» more  ESA 2008»
13 years 10 months ago
Speed Scaling Functions for Flow Time Scheduling Based on Active Job Count
Abstract. We study online scheduling to minimize flow time plus energy usage in the dynamic speed scaling model. We devise new speed scaling functions that depend on the number of ...
Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prud...
DEDS
2010
130views more  DEDS 2010»
13 years 8 months ago
Message Batching in Wireless Sensor Networks - A Perturbation Analysis Approach
Abstract-- We address the problem of batching messages generated at nodes of a sensor network for the purpose of reducing communication energy at the expense of added latency. We f...
Xu Ning, Christos G. Cassandras