代码搜索:classification
找到约 3,679 项符合「classification」的源代码
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www.eeworm.com/read/373628/9445649
html 00index.html
R: Breiman and Cutler's random forests for classification and
regression
www.eeworm.com/read/161538/10398335
m demo3.m
% DEMO3 One-Class Support Vector Classification with LIBSVM.
%
% The aim of a one-class SVM is to find the boundary of a data sample.
% One-class SVMs are always nu style; this demo uses a SVM w
www.eeworm.com/read/161165/10442844
m smo_algorithm.m
function outPutPar = SMO_algorithm(class_one,class_two,kPar,C)
% the function for generating the two_class based classification
% InputPar:
% class_one: the first class data;
% class_two: the second c
www.eeworm.com/read/160935/10469095
imo pen and pencil rules.imo
win(header(pc,fprule_model_factory,'Pen and pencil rules',nil),130,140,454,512,conts(`~M~J/* Suggestion: transform this to a Classification Tree! */~M~J~M~JIF purpose IS handwriting~M~JTHEN writing
www.eeworm.com/read/469123/6977871
m demo_laplace_2d.m
% demonstrate the Laplace approximation on a 2-d classification task.
% 2006-03-23.
if isempty(regexp(path,['gpml' pathsep]))
cd ..; w = pwd; addpath([w, '/gpml']); cd gpml-demo % add code dir t
www.eeworm.com/read/140847/5779339
m learn_params.m
function CPD = learn_params(CPD, fam, data, ns, cnodes, varargin)
% LEARN_PARAMS Construct classification/regression tree given complete data
% CPD = learn_params(CPD, fam, data, ns, cnodes)
%
% fam(i
www.eeworm.com/read/133943/5897522
m learn_params.m
function CPD = learn_params(CPD, fam, data, ns, cnodes, varargin)
% LEARN_PARAMS Construct classification/regression tree given complete data
% CPD = learn_params(CPD, fam, data, ns, cnodes)
%
% fam(i