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/386050/8768884
m neurc.m
%NEURC Automatic neural network classifier
%
% W = NEURC (A,UNITS)
%
% INPUT
% A Dataset
% UNITS Number of units
% Default: 0.2 x size smallest class in A.
%
% OUTPUT
% W T
www.eeworm.com/read/386050/8768891
m testp.m
%TESTP Error estimation of Parzen classifier
%
% E = TESTP(A,H,T)
% E = TESTP(A,H)
%
% INPUT
% A input dataset
% H matrix smoothing parameters (optional, def: determined via
%
www.eeworm.com/read/386050/8768962
m testauc.m
%TESTAUC Multiclass error area under the ROC
%
% E = TESTAUC(A*W)
% E = TESTAUC(A,W)
% E = A*W*TESTAUC
%
% INPUT
% A Dataset to be classified
% W Classifier
%
% OUTPUT
% E Er
www.eeworm.com/read/386050/8768967
m bayesc.m
%BAYESC Bayes classifier
%
% W = BAYESC(WA,WB, ... ,P,LABLIST)
%
% INPUT
% WA, WB, ... Trained mappings for supplying class density estimates
% P Vector with class prior probabili
www.eeworm.com/read/386050/8769086
m getcost.m
%GETCOST Get classification cost matrix
%
% [COST,LABLIST] = GETCOST(W)
%
% Returns the classification cost matrix as set in the classifier W.
% An empty cost matrix is interpreted as equal costs for
www.eeworm.com/read/428849/8834813
m~ train_ocr.m~
% TRAIN_OCR Training of OCR classifier based on multiclass SVM.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Mult
www.eeworm.com/read/428849/8834819
m train_ocr.m
% TRAIN_OCR Training of OCR classifier based on multiclass SVM.
%
% Description:
% The following steps are performed:
% - Training set is created from data in directory ExamplesDir.
% - Mult
www.eeworm.com/read/426685/9004054
m nearestfeatureplaneclassifier.m
% Nearest Feature Plane Classifier-NFP
function [NFPCrate]=NFPclassifier(features,test_features,trnum,tenum,classnum)
% features the matrix that training samples projected on feature subspac
www.eeworm.com/read/426684/9004063
m nearestfeaturelineclassifier.m
% Nearest Feature Line Classifier-NFL
function [NFLCrate]=NFLclassifier(features,test_features,trnum,tenum,classnum)
% features the matrix that training samples projected on feature subspace
www.eeworm.com/read/426679/9004379
m nfpclassifier.m
% Nearest Feature Plane Classifier-NFP
function [NFPCrate]=NFPclassifier(features,test_features,trnum,tenum,classnum)
% features the matrix that training samples projected on feature subspac