代码搜索:Matrix

找到约 10,000 项符合「Matrix」的源代码

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m latentlssvm.m

function [zt,model] = latentlssvm(varargin) % Calculate the latent variables of the LS-SVM classifier at the given test data % % >> Zt = latentlssvm({X,Y,'classifier',gam,sig2,kernel}, {alpha,b}, Xt)
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m lsvm.m

function [iter, optCond, time, w, gamma] = lsvm(A,D,nu,tol,maxIter,alpha, ... perturb,normalize); % LSVM Langrangian Support Vector Machine algorithm % LSVM solves a support vector machine
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m fnorm.m

function y=fnorm(w,f,p) %FNORM Norms of MVFR matrix. % FNORM(W,F,p) applies NORM(Fm,p) to each component matrix % Fm of the MVFR matrix, F. The results are returned as % a column vector of len
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m ftrn.m

function fout=ftrn(w,f) %FTRN Complex conjugate transpose of MVFR matrix. % FTRN(W,F) returns an MVFR matrix whose component % matrices are the complex conjugate transposes % o
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m mvpldemo.m

% MVPLDEMO Graphical plots demo for MFD Toolbox. echo off % J-M Boyle 20th August 1987 % Copyright (c) 1987,1993 by GEC Engineering Research Centre and % Cambridge Control Ltd % Hist
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m nbayesc.m

%NBAYESC Bayes Classifier for given normal densities % % W = NBAYESC(U,G) % % INPUT % U Dataset of means of classes % G Covariance matrices (optional; default: identity matrices) % % OUTP
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m kcentres.m

%KCENTRES Finds K center objects from a distance matrix % % [LAB,J,DM] = KCENTRES(D,K,N,FID) % % INPUT % D Distance matrix between, e.g. M objects (may be a dataset) % K Number of center
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h rcode.h

/* RCODE.H - Parity chk and gen matrix storage, and procedures to read them.*/ /* Copyright (c) 2000 by Radford M. Neal * * Permission is granted for anyone to copy, use, modify, or distribute thi
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html sparse-lu.html

Sparse LU Decomposition Methods Sparse LU Decomposition Methods The sparse modulo-2 matrix LU decomposition routine
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html pchk.html

Creating a Parity Check Matrix Creating a Parity Check Matrix This software deals only with linear block codes for binary (ie, modulo-2,