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ML
2002
ACM
220views Machine Learning» more  ML 2002»
15 years 4 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
SIAMJO
2002
159views more  SIAMJO 2002»
15 years 4 months ago
Locating the Least 2-Norm Solution of Linear Programs via a Path-Following Method
A linear program has a unique least 2-norm solution provided that the linear program has a solution. To locate this solution, most of the existing methods were devised to solve cer...
Yun-Bin Zhao, Duan Li
JCPHY
2011
79views more  JCPHY 2011»
14 years 7 months ago
Stochastic Eulerian Lagrangian methods for fluid-structure interactions with thermal fluctuations
A computational approach is introduced for the study of the rheological properties of complex fluids and soft materials. The approach allows for a consistent treatment of microstr...
Paul J. Atzberger
MOC
2011
14 years 11 months ago
Convergence of a mixed method for a semi-stationary compressible Stokes system
We propose and analyze a finite element method for a semi– stationary Stokes system modeling compressible fluid flow subject to a Navier– slip boundary condition. The veloci...
Kenneth H. Karlsen, Trygve K. Karper
CAGD
2004
168views more  CAGD 2004»
15 years 4 months ago
A finite element method for surface restoration with smooth boundary conditions
In surface restoration usually a damaged region of a surface has to be replaced by a surface patch which restores the region in a suitable way. In particular one aims for C1-conti...
Ulrich Clarenz, Udo Diewald, G. Dziuk, Martin Rump...