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AUTOMATICA
2005
89views more  AUTOMATICA 2005»
13 years 9 months ago
Instrumental variable methods for closed-loop system identification
In this paper, several instrumental variable (IV) and instrumental variable-related methods for closed-loop system identification are considered and set in an extended IV framewor...
Marion Gilson, Paul M. J. Van den Hof
ISBI
2006
IEEE
14 years 9 months ago
Preliminary testing of sensitivity to input data quality in an elastographic reconstruction method
An elastographic reconstruction method has been developed to recover the material properties of soft tissue by modelbased analysis of image data acquired at different states of me...
Jao J. Ou, Stephanie L. Barnes, Michael I. Miga
SIBGRAPI
2008
IEEE
14 years 3 months ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
ICANN
2007
Springer
14 years 26 days ago
An Efficient Method for Pruning the Multilayer Perceptron Based on the Correlation of Errors
Abstract. In this paper we present a novel method for pruning redundant weights of a trained multilayer Perceptron (MLP). The proposed method is based on the correlation analysis o...
Cláudio M. S. Medeiros, Guilherme De A. Bar...
CSDA
2010
122views more  CSDA 2010»
13 years 9 months ago
A comparison of design and model selection methods for supersaturated experiments
Various design and model selection methods are available for supersaturated designs having more factors than runs but little research is available on their comparison and evaluati...
Christopher J. Marley, David C. Woods