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» Models and Algorithms for Stochastic Online Scheduling
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ICML
2006
IEEE
14 years 9 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
ACL
2009
13 years 6 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
ICDCSW
2009
IEEE
14 years 3 months ago
A Dynamic Battery Model for Co-design in Cyber-Physical Systems
We introduce a dynamic battery model that describes the variations of the capacity of a battery under time varying discharge current. This model supports a co-design approach for ...
Fumin Zhang, Zhenwu Shi, Wayne Wolf
RTAS
2002
IEEE
14 years 1 months ago
Feedback Scheduling of Model Predictive Controllers
The paper presents some preliminary results on dynamic scheduling of model predictive controllers (MPCs). In an MPC, the control signal is obtained by on-line optimization of a co...
Dan Henriksson, Anton Cervin, Johan Åkesson,...
JCO
2010
99views more  JCO 2010»
13 years 7 months ago
Online scheduling with a buffer on related machines
Online scheduling with a buffer is a semi-online problem which is strongly related to the basic online scheduling problem. Jobs arrive one by one and are to be assigned to paralle...
György Dósa, Leah Epstein