代码搜索:classifiers

找到约 2,305 项符合「classifiers」的源代码

代码结果 2,305
www.eeworm.com/read/330850/12865199

m components_with_df.m

function [test_targets, errors] = Components_with_DF(train_patterns, train_targets, test_patterns, Ncomponents) % Classify points using component classifiers with discriminant functions % Inputs:
www.eeworm.com/read/137213/13339972

m combining_nb.m

function [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) % combining method -- Naive bayes % % Inputs: % DP - predicting class by single classifiers % test_ta
www.eeworm.com/read/317622/13500966

m components_with_df.m

function [test_targets, errors] = Components_with_DF(train_patterns, train_targets, test_patterns, Ncomponents) % Classify points using component classifiers with discriminant functions % Inputs:
www.eeworm.com/read/312163/13617555

m demo_linclass.m

function result = demo_linclass(action,hfigure,varargin) % DEMO_LINCLASS Demo on the algorithms learning linear classifiers. % % Synopsis: % demo_linclass % % Description: % DEMO_LINCLASS demonstrat
www.eeworm.com/read/139298/5803178

java perturbation_bootstrap.java

package fasbir.ensemblers; import weka.classifiers.*; import weka.core.*; import java.util.Random; /** * Description: Bootstrap sampling perturbation method * A perturbation method
www.eeworm.com/read/493294/6400465

m is_occ.m

%IS_OCC True for one-class classifiers % % IS_OCC(W) returns true if the classifier W is a one-class classifier, % outputting only classes 'target' and/or 'outlier' and having a % structure with t
www.eeworm.com/read/492400/6422301

m is_occ.m

%IS_OCC True for one-class classifiers % % IS_OCC(W) returns true if the classifier W is a one-class classifier, % outputting only classes 'target' and/or 'outlier' and having a % structure with t
www.eeworm.com/read/405069/11472314

m components_with_df.m

function [test_targets, errors] = Components_with_DF(train_patterns, train_targets, test_patterns, Ncomponents) % Classify points using component classifiers with discriminant functions % Inputs:
www.eeworm.com/read/400576/11573556

m is_occ.m

%IS_OCC True for one-class classifiers % % IS_OCC(W) returns true if the classifier W is a one-class classifier, % outputting only classes 'target' and/or 'outlier' and having a % structure with t
www.eeworm.com/read/150760/12266101

m demo_linclass.m

function result = demo_linclass(action,hfigure,varargin) % DEMO_LINCLASS Demo on the algorithms learning linear classifiers. % % Synopsis: % demo_linclass % % Description: % DEMO_LINCLASS demonstrat