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/400576/11573457

m lpdd.m

%LPDD Linear programming distance data description % % W = LPDD(X,NU,S,DTYPE,P) % % One-class classifier put into a linear programming framework. From % the data X the distance matrix is comp
www.eeworm.com/read/400576/11573504

m dd_normc.m

%DD_NORMC Normalize the output of a oc-classifier % % B = DD_NORMC(A) % B = A*W*DD_NORMC % W = DD_NORMC % % Normalize the mapped dataset A to standard 'posterior probability' % est
www.eeworm.com/read/342008/12046994

m parsc.m

%PARSC Pars classifier % % parsc(w) % % Displays the type and, for combining classifiers, the structure of % the mapping w. % % See also mappings % Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl
www.eeworm.com/read/342008/12047255

m roc.m

%ROC Receiver-operator curve % % e = roc(D,k) % % Computes k points of the receiver-operator curve of the classifier % W for the labeled data set D, which is typically the result of % D = A*W*clas
www.eeworm.com/read/342008/12047333

m reject.m

%REJECT Compute error-reject trade-off curve % % e = reject(D) % % Computes the error-reject curve of the classification result % D = A*W, in which A is a dataset and W a classifier. e is a % set
www.eeworm.com/read/150760/12265804

m knnclass.m

function y = knnclass(X,model) % KNNCLASS k-Nearest Neighbours classifier. % % Synopsis: % y = knnclass(X,model) % % Description: % The input feature vectors X are classified using the K-NN % rule
www.eeworm.com/read/130034/14211526

h bfagent.h

// Interface for BFagent -- Classifier predictors #import "Agent.h" #import "BFParams.h" #import "BFCast.h" #import #import "World.h" //pj: // Structure for list of indiv
www.eeworm.com/read/223154/14651894

m llbc.m

function [LogLik,ix,x]=llbc(ECM,Y,Mode) % LLBC Log-Likelihood based classifier % [LLBC] = llbc(ECM); % LLBC is a multiple discriminator % % [LL] = llbc(ECM,D); % calculates the Log-Likelihood to
www.eeworm.com/read/220157/14847828

h bfagent.h

// Interface for BFagent -- Classifier predictors #import "Agent.h" #import "BFParams.h" #import "BFCast.h" #import #import "World.h" //pj: // Structure for list of indiv
www.eeworm.com/read/218623/14912066

m mil_train_test_validate.m

% Input pararmeter: % D: data array, including the feature data and output class % outputfile: the output file name of classifiers function run = MIL_train_test_validate(data_file, classifier_wrap