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» The Convergence of Iterated Classification
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SIAMCO
2002
71views more  SIAMCO 2002»
13 years 10 months ago
Rate of Convergence for Constrained Stochastic Approximation Algorithms
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
Robert Buche, Harold J. Kushner
TIT
2010
158views Education» more  TIT 2010»
13 years 5 months ago
Belief propagation, Dykstra's algorithm, and iterated information projections
Belief propagation is shown to be an instance of a hybrid between two projection algorithms in the convex programming literature: Dykstra's algorithm with cyclic Bregman proje...
John MacLaren Walsh, Phillip A. Regalia
SIAMJO
2008
92views more  SIAMJO 2008»
13 years 10 months ago
A Trust Region Spectral Bundle Method for Nonconvex Eigenvalue Optimization
We present a nonsmooth optimization technique for nonconvex maximum eigenvalue functions and for nonsmooth functions which are infinite maxima of eigenvalue functions. We prove glo...
Pierre Apkarian, Dominikus Noll, O. Prot
ICPR
2008
IEEE
15 years 3 days ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
ICML
2007
IEEE
14 years 11 months ago
On one method of non-diagonal regularization in sparse Bayesian learning
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
Dmitry Kropotov, Dmitry Vetrov