代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/191902/8417070
m genetic_programming.m
function [D, best_fun] = genetic_programming(features, targets, params, region)
% A genetic programming algorithm for classification
%
% features - Train features
% targets - Train targets
www.eeworm.com/read/289680/8534991
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/289680/8535083
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/188280/8552134
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/188280/8552211
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/431675/8661667
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/431675/8661769
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/282846/9056125
m unpak.m
function [m, ntr, nte, ntrte] = unpak(parvec)
% unpacks a vector of useful values
%
% [m, ntr, nte, ntrte] = unpak(parvec)
% Matlab code for Gaussian Processes for Classification:
%
www.eeworm.com/read/282846/9056160
m invaxb.m
function in = invAxB(AL,AU,B)
% computes inv(A)*B, given L,U decomposition of A
% Matlab code for Gaussian Processes for Classification:
% GPCLASS version 0.2 10 Nov
www.eeworm.com/read/183443/9158833
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
%