代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
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www.eeworm.com/read/150760/12265649
m contents.m
% Quadratic discriminant function and data mapping.
%
% lin2quad - Merges linear rule and quadratic mapping.
% qmap - Quadratic data mapping.
% quadclass - Quadratic classifier.
%
% About: St
www.eeworm.com/read/150760/12266063
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/150749/12267258
m deltablssvm.m
function model = deltablssvm(model,a1,a2)
% Bias term correction for the LS-SVM classifier
%
% >> model = deltablssvm(model, b_new)
%
% This function is only useful in the object oriented function
%
www.eeworm.com/read/150749/12267408
m deltablssvm.m
function model = deltablssvm(model,a1,a2)
% Bias term correction for the LS-SVM classifier
%
% >> model = deltablssvm(model, b_new)
%
% This function is only useful in the object oriented function
%
www.eeworm.com/read/149739/12353469
m quadrc.m
%QUADRC Quadratic Discriminant Classifier
%
% W = QUADRC(A,R,S)
%
% INPUT
% A Dataset
% R,S 0
www.eeworm.com/read/128468/14295337
m contents.m
% General purpose and others functions for STPRToolbox.
%
% cerror - Calculates classifier error.
% cliplin1 - Clips line according to given window.
% cliplin2 - Clips line starting i
www.eeworm.com/read/119681/14824488
m deltablssvm.m
function model = deltablssvm(model,a1,a2)
% Bias term correction for the LS-SVM classifier
%
% >> model = deltablssvm(model, b_new)
%
% This function is only useful in the object oriented function
%
www.eeworm.com/read/218623/14912064
m mil_train_test_simple.m
function run = MIL_train_test_simple(bags, trainindex, testindex, classifier)
global preprocess;
clear run;
% The statistics of dataset
%num_class = length(preprocess.ClassSet);
%class_set =
www.eeworm.com/read/214923/15083024
m deltablssvm.m
function model = deltablssvm(model,a1,a2)
% Bias term correction for the LS-SVM classifier
%
% >> model = deltablssvm(model, b_new)
%
% This function is only useful in the object oriented function
%
www.eeworm.com/read/214923/15083073
m demou3.m
% -disclaimer-
disp(' This demo illustrates how one can use different components ');
disp(' of the toolbox to compose a fixed size LS-SVM classifier.');
disp(' To study how this result can be achieve