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» Model Selection and Error Estimation
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ICCAD
2001
IEEE
111views Hardware» more  ICCAD 2001»
14 years 7 months ago
A Trajectory Piecewise-Linear Approach to Model Order Reduction and Fast Simulation of Nonlinear Circuits and Micromachined Devi
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...
Michal Rewienski, Jacob White
3DPVT
2006
IEEE
179views Visualization» more  3DPVT 2006»
14 years 4 months ago
Large-Scale Urban Modeling by Combining Ground Level Panoramic and Aerial Imagery
We describe an interactive system that models regions of an urban environment, such as a group of tall buildings. Traditional image-based modeling methods often cannot model such ...
Lu Wang, Suya You, Ulrich Neumann
AISB
1994
Springer
14 years 2 months ago
An Empirical Comparison of Selection Methods in Evolutionary Algorithms
Selection methods in Evolutionary Algorithms, including Genetic Algorithms, Evolution Strategies ES and Evolutionary Programming, EP are compared by observing the rate of converge...
Peter J. B. Hancock
IJCNN
2006
IEEE
14 years 4 months ago
Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
Gavin C. Cawley
CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
14 years 4 months ago
Stability of model predictive control based on reduced-order models
— In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback model predictive control based on reduced-order models. The design uses linear...
Svein Hovland, Christian Løvaas, Jan Tommy ...