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/405069/11472199
m calculate_error.m
function [train_err, test_err] = calculate_error (D, train_patterns, train_targets, test_patterns, test_targets, region, Nclasses)
% Calculate error (used by the main calculation functions)
trai
www.eeworm.com/read/474600/6813447
m calculate_error.m
function [train_err, test_err] = calculate_error (D, train_patterns, train_targets, test_patterns, test_targets, region, Nclasses)
% Calculate error (used by the main calculation functions)
trai
www.eeworm.com/read/444082/7618746
pdf a fast modulation recognition technique using nearest neighbor rules with optimized threshold for modulation classification in rayleigh fading channels.pdf
www.eeworm.com/read/347796/3163014
java infogainfeatureselector.java
package dragon.ir.classification.featureselection;
import dragon.ir.classification.*;
import dragon.ir.classification.DocClassSet;
import dragon.ir.index.*;
import dragon.matrix.SparseMatrix;
i
www.eeworm.com/read/268397/4252851
java infogainfeatureselector.java
package dragon.ir.classification.featureselection;
import dragon.ir.classification.*;
import dragon.ir.classification.DocClassSet;
import dragon.ir.index.*;
import dragon.matrix.SparseMatrix;
i
www.eeworm.com/read/268397/4252857
java svmlightclassifier.java
package dragon.ir.classification;
import dragon.ir.classification.featureselection.*;
import dragon.ir.classification.multiclass.*;
import dragon.ir.index.*;
import dragon.matrix.*;
import jnis
www.eeworm.com/read/268397/4252867
java libsvmclassifier.java
package dragon.ir.classification;
import dragon.ir.classification.featureselection.*;
import dragon.ir.classification.multiclass.*;
import dragon.ir.index.*;
import dragon.matrix.*;
import drag
www.eeworm.com/read/191902/8417173
m start_classify.m
function [D, test_err, train_err, train_features, train_targets, reduced_features, reduced_targets] = start_classify(features, targets, error_method, redraws, percent, Preprocessing_algorithm, Preproc
www.eeworm.com/read/286662/8751779
m start_classify.m
function [D, test_err, train_err, train_patterns, train_targets, reduced_patterns, reduced_targets] = start_classify(patterns, targets, error_method, redraws, percent, Preprocessing_algorithm, Preproc