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LISA
2008
15 years 2 months ago
Dynamic Dependencies and Performance Improvement
The art of performance tuning is, alas, still an art; there are few tools to help predict the effects of changes that are motivated by performance needs. In this work, we present ...
Marc Chiarini, Alva L. Couch
NN
2000
Springer
150views Neural Networks» more  NN 2000»
14 years 11 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
ICML
2005
IEEE
16 years 20 days ago
Relating reinforcement learning performance to classification performance
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...
John Langford, Bianca Zadrozny
EUC
2006
Springer
15 years 3 months ago
Prediction Efficiency in Predictive p-CSMA/CD
Predictive p-persistent CSMA protocol is an important MAC solution developed for networked sensor/control applications and used in Local Operating Networks (LonWorks) technology. T...
Marek Miskowicz
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
15 years 4 months ago
Generalized Model Predictive Direct Torque Control: Long prediction horizons and minimization of switching losses
Abstract— This paper presents a generalized Model Predictive Direct Torque Control scheme with an extended horizon, which is composed of multiple hinges (groups of switch transit...
Tobias Geyer