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» Neuro-Wavelet Parametric Modeling
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IJCNN
2000
IEEE
15 years 12 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
15 years 9 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»
15 years 7 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»
15 years 7 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...
162
Voted
DFT
2004
IEEE
92views VLSI» more  DFT 2004»
15 years 11 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