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NECO
2007
129views more  NECO 2007»
13 years 7 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
CAGD
2011
13 years 2 months ago
Regularization of B-spline objects
By a d-dimensional B-spline object (denoted as Od ), we mean a B-spline curve (d = 1), a B-spline surface (d = 2) or a B-spline volume (d = 3). By regularization of a B-spline obj...
Guoliang Xu, Chandrajit L. Bajaj
DAC
2002
ACM
14 years 8 months ago
Combined BEM/FEM substrate resistance modeling
For present-day micro-electronic designs, it is becoming ever more important to accurately model substrate coupling effects. Basically, either a Finite Element Method (FEM) or a B...
Eelco Schrik, N. P. van der Meijs
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 1 months ago
Using pair approximations to predict takeover dynamics in spatially structured populations
The topological properties of a network directly impact the flow of information through a system. For example, in natural populations, the network of inter-individual contacts aff...
Joshua L. Payne, Margaret J. Eppstein
SIAMSC
2010
192views more  SIAMSC 2010»
13 years 6 months ago
Adaptive Discontinuous Galerkin Methods for Eigenvalue Problems Arising in Incompressible Fluid Flows
In this article we consider the a posteriori error estimation and adaptive mesh refinement of discontinuous Galerkin finite element approximations of the hydrodynamic stability p...
K. Andrew Cliffe, Edward J. C. Hall, Paul Houston