代码搜索：classifies
找到约 147 项符合「classifies」的源代码
代码结果 147
www.eeworm.com/read/229812/4750870
gml fpclassf.gml
.func fpclassify
#include
int fpclassify( x );
.funcend
.*
.desc begin
The &func macro classifies its argument
.arg x
as NaN, infinite, normal, subnormal, or zero.
First, an argument
www.eeworm.com/read/376881/2706631
m ocr_fun.m
function ocr_fun(data)
% OCR_FUN Calls OCR classifier and displays result.
%
% Synopsis:
% ocr_fun(data)
%
% Description:
% This function classifies images of characters stored as columns
% of th
www.eeworm.com/read/371708/2779004
m ocr_fun.m
function ocr_fun(data)
% OCR_FUN Calls OCR classifier and displays result.
%
% Synopsis:
% ocr_fun(data)
%
% Description:
% This function classifies images of characters stored as columns
% of th
www.eeworm.com/read/411674/11233871
m ocr_fun.m
function ocr_fun(data)
% OCR_FUN Calls OCR classifier and displays result.
%
% Synopsis:
% ocr_fun(data)
%
% Description:
% This function classifies images of characters stored as columns
% of th
www.eeworm.com/read/436945/7758467
m classify.m
function [c, post] = classify(f, X, method)
%QDA/CLASSIFY Categorise new data with quadratic discriminants.
% [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p
% feature matrix X given
www.eeworm.com/read/436945/7758483
m classify.m
function [c, post] = classify(f, X);
%CLASSIFIER/CLASSIFY Categorise new data with CLASSIFIER object.
% [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p
% feature matrix X given the CL
www.eeworm.com/read/328078/13047154
m classify.m
function [c, post] = classify(f, X, method)
%QDA/CLASSIFY Categorise new data with quadratic discriminants.
% [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p
% feature matrix X given
www.eeworm.com/read/328078/13047204
m classify.m
function [c, post] = classify(f, X);
%CLASSIFIER/CLASSIFY Categorise new data with CLASSIFIER object.
% [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p
% feature matrix X given the CL
www.eeworm.com/read/301115/13865843
m classify.m
function results = classify(data, net, labels, debug);
% CLASSIFY Classifies the given data using the given trained SFAM.
% RESULTS = CLASSIFY(DATA, NET, LABELS, DEBUG)
% DATA is an M-by-D matrix whe
www.eeworm.com/read/493388/6402136
m classify.m
function results = classify(data, net, labels, debug);
% CLASSIFY Classifies the given data using the given trained SFAM.
% RESULTS = CLASSIFY(DATA, NET, LABELS, DEBUG)
% DATA is an M-by-D matrix whe