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» Neuro-Wavelet Parametric Modeling
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IJCNN
2000
IEEE
13 years 9 months ago
Neuro-Wavelet Parametric Modeling
This w orkshows how to train the activation function in neuro-wavelet parametric modeling and how this improves performance in a number of modeling, classi cation and forecasting.
Valentina Colla, Mirko Sgarbi, Leonardo Maria Reyn...
WSC
1998
13 years 6 months ago
A Parametric Version of Jackknife-after-Bootstrap
In this paper, we investigate the problem of deriving precision estimates for bootstrap quantities within parametric families. Efron's [1992] jackknife-after-bootstrap is a s...
Jin Wang
CSDA
2007
82views more  CSDA 2007»
13 years 4 months ago
Non-parametric log-concave mixtures
Finite mixtures of parametric distributions are often used to model data of which it is known or suspected that there are subpopulations. Instead of a parametric model, a penalize...
Paul H. C. Eilers, M. W. Borgdorff
ENTCS
2006
153views more  ENTCS 2006»
13 years 4 months ago
Parametric Domain-theoretic Models of Polymorphic Intuitionistic / Linear Lambda Calculus
We present a formalization of a version of Abadi and Plotkin's logic for parametricity for a polymorphic dual intuitionistic / linear type theory with fixed points, and show,...
Lars Birkedal, Rasmus Ejlers Møgelberg, Ras...
DFT
2004
IEEE
92views VLSI» more  DFT 2004»
13 years 8 months ago
Reliability and Yield: A Joint Defect-Oriented Approach
We present a model for computing the probability of a parametric failure due to a spot defect. The analysis is based on electromigration in conductors under unidirectional current...
Roman Barsky, Israel A. Wagner