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TSP
2010
13 years 2 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
ATAL
2007
Springer
14 years 1 months ago
Commitment-driven distributed joint policy search
Decentralized MDPs provide powerful models of interactions in multi-agent environments, but are often very difficult or even computationally infeasible to solve optimally. Here we...
Stefan J. Witwicki, Edmund H. Durfee
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 2 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
ECAI
2008
Springer
13 years 9 months ago
Optimizing Causal Link Based Web Service Composition
Automation of Web service composition is one of the most interesting challenges facing the Semantic Web today. Since Web services have been enhanced with formal semantic descriptio...
Freddy Lécué, Alexandre Delteil, Ala...
CP
2001
Springer
14 years 6 days ago
Fast Optimal Instruction Scheduling for Single-Issue Processors with Arbitrary Latencies
Instruction scheduling is one of the most important steps for improving the performance of object code produced by a compiler. The local instruction scheduling problem is to nd a m...
Peter van Beek, Kent D. Wilken