代码搜索：classification

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m maxwin.m

function net = maxwin(arg, sv, w, bias, C, zeta) % MAXWIN % % Construct a max-win multi-class support vector classification network. % % Examples: % % % default constructor (a 0-class maxw
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www.eeworm.com/read/181388/9256602

m maxwin.m

function net = maxwin(arg, sv, w, bias, C, zeta) % MAXWIN % % Construct a max-win multi-class support vector classification network. % % Examples: % % % default constructor (a 0-class maxw
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www.eeworm.com/read/377407/9277703

readme

We offer a first C-package of "Long Short-Term Memory" for Protein classification (LSTM_protein). :: License This programm is freely available for academic, non-profit users and open-source develope
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www.eeworm.com/read/373632/9445405

contents

Entry: knn.var Aliases: knn.var Keywords: models Description: K-Nearest Neighbor Classification With Variable Selection URL: ../../../library/knnTree/html/knn.var.html Entry: knnTree Aliases:
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www.eeworm.com/read/373627/9446074

r ch12.r

#-*- R -*- ## Script from Fourth Edition of `Modern Applied Statistics with S' # Chapter 12 Classification library(MASS) postscript(file="ch12.ps", width=8, height=6, pointsize=9) options(echo=T,
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www.eeworm.com/read/372113/9521095

m genetic_programming.m

function [test_targets, best_fun] = genetic_programming(train_patterns, train_targets, test_patterns, params) % A genetic programming algorithm for classification % % train_patterns - Train patt
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www.eeworm.com/read/175317/9552345

m generate_toydata.m

function [X,Y]=generate_toydata(n,method) % [X,Y]=generate_toydata(n,method) % Generates toy binary classification problem % n points in class +1 and n points in class -1 % method:
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www.eeworm.com/read/362013/10023691

m lds.m

function [Yu, err] = lds(Xl,Xu,Yl,rho,opt) % Yu = LDS(Xl,Xu,Yl,rho,opt) % Run the Low Density Separation algorithm as described in % "Semi-supervised classification by Low Density Separation" by %
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www.eeworm.com/read/362008/10023784

m genetic_programming.m

function [test_targets, best_fun] = genetic_programming(train_patterns, train_targets, test_patterns, params) % A genetic programming algorithm for classification % % train_patterns - Train patt
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www.eeworm.com/read/358250/10193390

m music_spectrum.m

function P = music(Y,M,d,Lamda,angle,K) %MUSIC Multiple Signal Classification Method for direction finding. % % Usage: P = music(Y,M,d,Lamda,angle,K) % %Input parameters: % % Y -
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