代码搜索:classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
www.eeworm.com/read/367440/9748413

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)
www.eeworm.com/read/204456/15339292

m plotroc.m

function h = plotroc(e,varargin) %PLOTROC Draw an ROC curve % % H = PLOTROC(W,A) % H = PLOTROC(E) % % Plot the roc curve of E according to the 'traditional' way: on the x % axis we put the fal
www.eeworm.com/read/201218/15413197

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)
www.eeworm.com/read/190459/8443096

m roc.m

function [AREA,SE,RESULT_S,FPR_ROC,TPR_ROC,TNa,TPa,FNa,FPa]=roc(RESULT,CLASS,fig) % Receiver Operating Characteristic (ROC) curve of a binary classifier % % >> [area, se, deltab, oneMinusSpec, sen
www.eeworm.com/read/431675/8661801

m classc.m

%CLASSC Convert mapping to classifier % % W = classc(W) % W = W*classc % % The mapping W is converted into a classifier: outputs (distances to the map) % are converted by the sigmoid function to proba
www.eeworm.com/read/431675/8661838

m contents.m

%Pattern Recognition Tools (PRTOOLS 3.1.7) % Version 1 February 2002 (after PRSD course) % %Datasets and Mappings %--------------------- %dataset Define and retrieve dataset from datamatrix and la
www.eeworm.com/read/431675/8662187

m getreject.m

%GETREJECT Get classifier reject value function r = getreject(w) r = w.r; return
www.eeworm.com/read/431675/8662291

m prtools.m

%Pattern Recognition Tools (PRTOOLS 3.1.7) % Version 1 February 2002 (after PRSD course) % %Datasets and Mappings %--------------------- %dataset Define and retrieve dataset from datamatrix and la