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找到约 10,000 项符合「Matrix」的源代码

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m qda.m

function [f, c, post] = qda(X, k, prior, est, nu) %QDA Quadratic Descriminant Analysis. % F = QDA(X, K, PRIOR) returns a quadratic discriminant analysis % object F based on the feature matrix X, c
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m logda.m

function [f, iter, dev, hess] = logda(X, k, prior, maxit, est) %LOGDA Logistic Discriminant Analysis. % F = LOGDA(X, K, PRIOR) returns a logistic discriminant analysis % object F based on the feat
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m classify.m

function [c, post] = classify(f, X, opt) %LOGDA/CLASSIFY Categorise new data with logistic discriminants. % [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p % feature matrix X given th
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asv classifier.asv

function [f, G, w] = classifier(X, k, prior) %CLASSIFIER Generic discriminant analysis object. % F = CLASSIFIER(X, K, PRIOR) returns a generic discriminant % analysis object based on the feature m
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m classifier.m

function [f, G, w] = classifier(X, k, prior) %CLASSIFIER Generic discriminant analysis object. % F = CLASSIFIER(X, K, PRIOR) returns a generic discriminant % analysis object based on the feature m
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m classify.m

function [c, post] = classify(f, X); %CLASSIFIER/CLASSIFY Categorise new data with CLASSIFIER object. % [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p % feature matrix X given the CL
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m lda.m

function [f, c, post] = lda(X, k, prior, est, nu) %LDA Linear Discriminant Analysis. % F = LDA(X, K, PRIOR) returns a linear discriminant analysis object % F based on the feature matrix X, class i
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asv lda.asv

function [f, c, post] = lda(X, k, prior, est, nu) %LDA Linear Discriminant Analysis. % F = LDA(X, K, PRIOR) returns a linear discriminant analysis object % F based on the feature matrix X, class i
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txt برنامه ضرب بعد از تغییر.txt

#include #include void mul(int m1[20][20], int m2[20][20], int m, int n, int q) { int i,j,k,p[20][20]; for(i=0; i
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java gamematrix.java

// Decompiled by Jad v1.5.7f. Copyright 2000 Pavel Kouznetsov. // Jad home page: http://www.geocities.com/SiliconValley/Bridge/8617/jad.html // Decompiler options: packimports(3) // Source File Na
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