代码搜索：Classify
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www.eeworm.com/read/382446/2636756
java bernoulliclassifiertest.java
package com.aliasi.test.unit.classify;
import com.aliasi.classify.BernoulliClassifier;
import com.aliasi.classify.Classification;
import com.aliasi.classify.Classifier;
import com.aliasi.classify.Sco
www.eeworm.com/read/382446/2636746
java logisticregressionclassifiertest.java
package com.aliasi.test.unit.classify;
import com.aliasi.classify.Classification;
import com.aliasi.classify.LogisticRegressionClassifier;
import com.aliasi.classify.XValidatingClassificationCorpus;
www.eeworm.com/read/291799/8394672
m contents.m
% Fuzzy ARTMAP Neural Network Implementation.
% Version 1.0 22-Dec-2003
% Author:
% Aaron Garrett
% Jacksonville State University
% Jacksonville, AL 36265
%
% Functions included i
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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/286662/8751874
m ml.m
function test_targets = ML(train_patterns, train_targets, test_patterns, AlgorithmParameters)
% Classify using the maximum-likelyhood algorithm
% Inputs:
% train_patterns - Train patterns
% tra
www.eeworm.com/read/372113/9521149
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/372113/9521251
m ml.m
function test_targets = ML(train_patterns, train_targets, test_patterns, AlgorithmParameters)
% Classify using the maximum-likelyhood algorithm
% Inputs:
% train_patterns - Train patterns
% tra
www.eeworm.com/read/362008/10023844
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/362008/10023928
m ml.m
function test_targets = ML(train_patterns, train_targets, test_patterns, AlgorithmParameters)
% Classify using the maximum-likelyhood algorithm
% Inputs:
% train_patterns - Train patterns
% tra
www.eeworm.com/read/357874/10199090
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