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111
Voted
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 5 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage
98
Voted
ATAL
2007
Springer
15 years 6 months ago
Combinatorial resource scheduling for multiagent MDPs
Optimal resource scheduling in multiagent systems is a computationally challenging task, particularly when the values of resources are not additive. We consider the combinatorial ...
Dmitri A. Dolgov, Michael R. James, Michael E. Sam...
240
Voted
ECAI
2010
Springer
15 years 1 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
WSC
2004
15 years 1 months ago
Simulation-Based Optimization for Material Dispatching in a Retailer Network
This paper presents preliminary work done on simulationbased optimization of a stochastic material-dispatching system in a retailer network. The problem we consider is one of dete...
Ganesh Subramaniam, Abhijit Gosavi
101
Voted
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
15 years 4 months ago
Input design using Markov chains for system identification
This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
Chiara Brighenti, Bo Wahlberg, Cristian R. Rojas