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» Model Order Reduction for Nonlinear IC Models
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NN
2000
Springer
165views Neural Networks» more  NN 2000»
14 years 11 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
ICML
2010
IEEE
15 years 27 days ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider
MMAS
2010
Springer
14 years 6 months ago
Balanced Truncation of Linear Second-Order Systems: A Hamiltonian Approach
We present a formal procedure for structure-preserving model reduction of linear second-order and Hamiltonian control problems that appear in a variety of physical contexts, e.g., ...
Carsten Hartmann, Valentina-Mira Vulcanov, Christo...
HYBRID
2003
Springer
15 years 5 months ago
Qualitative Heterogeneous Control of Higher Order Systems
This paper presents the qualitative heterogeneous control framework, a methodology for the design of a controlled hybrid system based on attractors and transitions between them. Th...
Subramanian Ramamoorthy, Benjamin Kuipers
ICIP
2003
IEEE
16 years 1 months ago
Non-linear 3D rendering workload prediction based on a combined fuzzy-neural network architecture for grid computing application
Although, computational Grid has been initially developed to solve large-scale scientific research problems, it is extended for commercial and industrial applications. An interest...
John K. Doulamis, Anastasios D. Doulamis