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Numerical solution of stationarity
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Bayesian Field Theory Nonparametric
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Non-quadratic potentials
 
Contents
Iteration procedures: Learning
Subsections
Numerical solution of stationarity equations
Learning matrices
Learning algorithms for density estimation
Linearization and Newton algorithm
Massive relaxation
Gaussian relaxation
Inverting in subspaces
Boundary conditions
Initial configurations and kernel methods
Truncated equations
Kernels for
Kernels for
Numerical examples
Density estimation with Gaussian specific prior
Density estimation with Gaussian mixture prior
Joerg_Lemm 2001-01-21