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ESANN
2001
13 years 10 months ago
Optimal transfer function neural networks
Neural networks use neurons of the same type in each layer but such architecture cannot lead to data models of optimal complexity and accuracy. Networks with architectures (number ...
Norbert Jankowski, Wlodzislaw Duch
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
14 years 2 months ago
Run Transferable Libraries - Learning Functional Bias in Problem Domains
Abstract. This paper introduces the notion of Run Transferable Libraries, a mechanism to pass knowledge acquired in one GP run to another. We demonstrate that a system using these ...
Maarten Keijzer, Conor Ryan, Mike Cattolico
WSC
2008
13 years 11 months ago
Evaluating the transient behavior of queueing systems via simulation and transfer function modeling
Characterizing the transient behavior of queueing systems is a difficult problem, which has been addressed by either simplified analytical models or simulation. We seek to capture...
Jingang Liu, Feng Yang
BILDMED
2009
175views Algorithms» more  BILDMED 2009»
13 years 10 months ago
Adapted Transfer Function Design for Coronary Artery Evaluation
We present an approach for adapted transfer function (TF) specification to highlight pathologic changes of the coronary artery vessel wall based on contrast medium-enhanced compute...
Sylvia Glaßer, Steffen Oeltze, Anja Hennemut...
CDC
2009
IEEE
221views Control Systems» more  CDC 2009»
14 years 1 months ago
Parametrization invariant covariance quantification in identification of transfer functions for linear systems
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Tzvetan Ivanov, Michel Gevers