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NECO
2007
129views more  NECO 2007»
14 years 11 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
14 years 6 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
16 years 24 days 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»
15 years 6 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»
14 years 10 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