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wireless networks gives the best guidence to get into the basics of wireless tecnology
wireless networks gives the best guidence to get into the basics of wireless tecnology...
linear networks
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ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead
ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead...
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The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statisti
The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statisti...
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This OpenNL, a library to easily construct and solve sparse linear systems. * OpenNL is supplied wi
This OpenNL, a library to easily construct and solve sparse linear systems. * OpenNL is supplied wi...
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video editing for is streamlined for fast linear operations over video. It has batch-processing capa
video editing for is streamlined for fast linear operations over video. It has batch-processing capa...
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SparseLab is a Matlab software package designed to find sparse solutions to systems of linear equati
SparseLab is a Matlab software package designed to find sparse solutions to systems of linear equati...
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Use DCT-LMS algorithm with recursions on C to estimate optimum weight vectors for linear estimation.
Use DCT-LMS algorithm with recursions on C to estimate optimum weight vectors for linear estimation....
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Using Gaussian elimination to solve linear equations. // In this version, we allow matrix of any si
Using Gaussian elimination to solve linear equations. // In this version, we allow matrix of any si...
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New training algorithm for linear classification SVMs that can be much faster than SVMlight for larg
New training algorithm for linear classification SVMs that can be much faster than SVMlight for larg...
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The toolbox solves a variety of approximate modeling problems for linear static models. The model ca
The toolbox solves a variety of approximate modeling problems for linear static models. The model ca...