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htm mdnfwd.htm

Netlab Reference Manual mdnfwd mdnfwd Purpose Forward propagation through Mixture Density Network. Synopsis mix
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htm glmhess.htm

Netlab Reference Manual glmhess glmhess Purpose Evaluate the Hessian matrix for a generalised linear model. Synopsis
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htm rbfhess.htm

Netlab Reference Manual rbfhess rbfhess Purpose Evaluate the Hessian matrix for RBF network. Synopsis h = rbfhe
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htm confmat.htm

Netlab Reference Manual confmat confmat Purpose Compute a confusion matrix. Synopsis [C, rate] = confmat(y, t)
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htm rbfbkp.htm

Netlab Reference Manual rbfbkp rbfbkp Purpose Backpropagate gradient of error function for RBF network. Synopsis
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htm mlphess.htm

Netlab Reference Manual mlphess mlphess Purpose Evaluate the Hessian matrix for a multi-layer perceptron network. Synopsis
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htm knnfwd.htm

Netlab Reference Manual knnfwd knnfwd Purpose Forward propagation through a K-nearest-neighbour classifier. Synopsis
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cpp wmbase.cpp

/*++ Copyright (c) 2005 Microsoft Corporation All rights reserved. THIS CODE AND INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT
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m fratfd.m

function [r, m] = fratfd(f) % FRATFD Folded Finite Radon Transform % % [r, m] = fratfd(f) % % Input: % f: a N by N matrix where (2N-1) is a prime number. % % Output: %
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c fratc.c

/* Finite Radon Transform * * Author: Minh N. Do * * Version history: * November 1999: First running version * June 2000: Modified variable name to conform with the paper * Changed the
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