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» Hybrid Optimizations: Which Optimization Algorithm to Use
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IEEEPACT
2008
IEEE
15 years 9 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
ICRA
2002
IEEE
105views Robotics» more  ICRA 2002»
15 years 8 months ago
Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning
This paper presents an approach to learning an optimal behavioral parameterization in the framework of a Case-Based Reasoning methodology for autonomous navigation tasks. It is ba...
Maxim Likhachev, Michael Kaess, Ronald C. Arkin
ICDCS
2012
IEEE
13 years 5 months ago
Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing
—Cloud resources are usually priced in multiple markets with different service guarantees. For example, Amazon EC2 prices virtual instances under three pricing schemes — the su...
Wei Wang, Baochun Li, Ben Liang
TWC
2008
227views more  TWC 2008»
15 years 3 months ago
Cross-layer optimization frameworks for multihop wireless networks using cooperative diversity
We propose cross-layer optimization frameworks for multihop wireless networks using cooperative diversity. These frameworks provide solutions to fundamental relaying problems of de...
Long Le, Ekram Hossain
SIMPRA
2008
125views more  SIMPRA 2008»
15 years 3 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic