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NN
2006
Springer
114views Neural Networks» more  NN 2006»
15 years 1 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
RTSS
1998
IEEE
15 years 6 months ago
A Dynamic Quality of Service Middleware Agent for Mediating Application Resource Usage
High-bandwidth applications with time-dependent resource requirements demand certain resource level assurances in order to operate correctly. Quality of Service resource managemen...
Scott A. Brandt, Gary J. Nutt, Toby Berk, James E....
AIPS
2004
15 years 3 months ago
Trading Places: How to Schedule More in a Multi-Resource Oversubscribed Scheduling Problem
Oversubscribed scheduling problems require removing tasks when enough resources are not available. Prior AI approaches have mostly been constructive or repairbased heuristic searc...
Laura Barbulescu, Adele E. Howe, L. Darrell Whitle...
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
15 years 8 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
CDC
2009
IEEE
139views Control Systems» more  CDC 2009»
15 years 6 months ago
Congestion control algorithms from optimal control perspective
— This paper is concerned with understanding the connection between the existing Internet congestion control algorithms and the optimal control theory. The available resource all...
Javad Lavaei, John C. Doyle, Steven H. Low