代码搜索：classification

找到约 3,679 项符合「classification」的源代码

代码结果 3,679
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/411379/2188964

m getbias.m

function bias = getbias(net) % GETBIAS % % Accessor method returning the bias of a support vector classification % network. % % bias = getbias(net); % % File : @svc/getbias.m %
·
www.eeworm.com/read/411379/2188986

m svctutor.m

function tutor = svctutor(arg) % SVCTUTOR % % Constructor for a class of tutor objects used to train support vector % classification networks. Note this is an abstract base class, you cannot %
·
www.eeworm.com/read/396844/2406729

m demtrain.m

function demtrain(action); %DEMTRAIN Demonstrate training of MLP network. % % Description % DEMTRAIN brings up a simple GUI to show the training of an MLP % network on classification and regression pr
·
www.eeworm.com/read/293183/8310136

m spatm.m

%SPATM Augment image dataset with spatial label information % % E = spatm(D,s) % % If D = A*W*classc, the output of a classification of a dataset A % containing feature images, then E is and augmented
·
www.eeworm.com/read/293183/8310247

m polyc.m

%POLYC Polynomial Classification % % W = polyc(A,classf,n,s) % % Adds polynomial features to the dataset A and runs the untrained % classifier classf. n is the degree of the polynome (default 1).
·
www.eeworm.com/read/367442/9747852

m contents.m

% Statistical Pattern Recognition Toolbox. % % Contents % % bayes - (dir) Bayes classification. % datasets - (dir) Functions for handling with data sets. % generalp - (dir) General purpose
·
www.eeworm.com/read/367442/9748281

m~ contents.m~

% Statistical Pattern Recognition Toolbox. % % Contents % % bayes - (dir) Bayes classification. % datasets - (dir) Functions for handling with data sets. % generalp - (dir) General purpose
·
www.eeworm.com/read/170936/9779372

m demtrain.m

function demtrain(action); %DEMTRAIN Demonstrate training of MLP network. % % Description % DEMTRAIN brings up a simple GUI to show the training of an MLP % network on classification and regression pr
·
www.eeworm.com/read/415313/11076683

m demtrain.m

function demtrain(action); %DEMTRAIN Demonstrate training of MLP network. % % Description % DEMTRAIN brings up a simple GUI to show the training of an MLP % network on classification and regression pr
·
www.eeworm.com/read/415313/11076804

m gp_classify.m

% GP_classify: implementation for Gaussian Process for Classification % % Parameters: % para: parameters % 1. PriorMean: mean of the prior distribution, default: 0 % 2. PriorVariance: varian
·