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» Nonlinear Predictive Control with a Gaussian Process Model
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ISPW
2008
IEEE
15 years 8 months ago
Accurate Estimates without Calibration?
Most process models calibrate their internal settings using historical data. Collecting this data is expensive, tedious, and often an incomplete process. Is it possible to make acc...
Tim Menzies, Oussama El-Rawas, Barry W. Boehm, Ray...
MOBIHOC
2006
ACM
16 years 1 months ago
Throughput and delay optimization in interference-limited multihop networks
The performance of a multihop wireless network is typically affected by the interference caused by transmissions in the same network. In a statistical fading environment, the inte...
Ahmed Bader, Eylem Ekici
136
Voted
EUROMICRO
2004
IEEE
15 years 5 months ago
SaveCCM - A Component Model for Safety-Critical Real-Time Systems
Component-based development has proven effective in many engineering domains, and several general component technologies are available. Most of these are focused on providing an e...
Hans Hansson, Mikael Åkerholm, Ivica Crnkovi...
ACL
2006
15 years 3 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner
IPPS
2008
IEEE
15 years 8 months ago
DC-SIMD : Dynamic communication for SIMD processors
SIMD (single instruction multiple data)-type processors have been found very efficient in image processing applications, because their repetitive structure is able to exploit the...
Raymond Frijns, Hamed Fatemi, Bart Mesman, Henk Co...