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/428849/8834905
m fld.m
function model = fld(data)
% FLD Fisher Linear Discriminat.
%
% Synopsis:
% model = fld(data)
%
% Description:
% This function computes the binary linear classifier based
% on the Fisher Linear Dis
www.eeworm.com/read/428849/8834916
m~ fld.m~
function model = fld(data)
% FLD Fisher Linear Discriminat.
%
% Synopsis:
% model = fld( data )
%
% Description:
% This function computes the binary linear classifier based
% on the Fisher Linear D
www.eeworm.com/read/373627/9446110
index
SOM Self-Organizing Maps: Online Algorithm
batchSOM Self-Organizing Maps: Batch Algorithm
condense Condense training set for k-NN classifier
knn
www.eeworm.com/read/177129/9468792
txt feature_selection.txt
Genetic_Culling@%groups, Out_dim, classifier, classifier params@[0.1,2,'LS',[]]@S
HDR@Out dimension@2@S
ICA@Out dimension, Convergence rate:@[2, 1e-30]@S
Koller@Out dimension@2@S
MDS@Method, Out
www.eeworm.com/read/169175/9876604
m adaclass.m
function [y,dfce] = adaclass(X,model)
% ADACLASS AdaBoost classifier.
%
% Synopsis:
% [y,dfce] = adaclass(X,model)
%
% Description:
% This function implements the AdaBoost classifier which
% its di
www.eeworm.com/read/362246/10010120
m adaclass.m
function [y,dfce] = adaclass(X,model)
% ADACLASS AdaBoost classifier.
%
% Synopsis:
% [y,dfce] = adaclass(X,model)
%
% Description:
% This function implements the AdaBoost classifier which
% its di
www.eeworm.com/read/362246/10010437
m fld.m
function model = fld(data)
% FLD Fisher Linear Discriminat.
%
% Synopsis:
% model = fld(data)
%
% Description:
% This function computes the binary linear classifier based
% on the Fisher Linear Dis
www.eeworm.com/read/362246/10010444
m~ fld.m~
function model = fld(data)
% FLD Fisher Linear Discriminat.
%
% Synopsis:
% model = fld( data )
%
% Description:
% This function computes the binary linear classifier based
% on the Fisher Linear D