代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
代码结果 4,824
www.eeworm.com/read/400577/11572643
m knn_map.m
%KNN_MAP Map a dataset on a K-NN classifier
%
% F = KNN_MAP(A,W)
%
% INPUT
% A Dataset
% W K-NN classifier trained by KNNC
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% OUTPUT
% F Posterior probabilities
%
% DESCRIPTION
% Maps t
www.eeworm.com/read/400577/11572654
m classc.m
%CLASSC Convert mapping to classifier
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% W = CLASSC(W)
% W = W*CLASSC
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% INPUT
% W Any mapping or dataset
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% OUTPUT
% W Classifier mapping or normalized dataset: outputs/features sum to 1
%
www.eeworm.com/read/400577/11572668
m prodc.m
%PRODC Product combining classifier
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% W = PRODC(V)
% W = V*PRODC
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% INPUT
% V Set of classifiers trained on the same classes
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% OUTPUT
% W Product combiner
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% DESCRIPTION
% It def
www.eeworm.com/read/400577/11572680
m contents.m
% Pattern Recognition Tools
% Version 4.1.4 11-Oct-2008
%
%Datasets and Mappings (just most important routines)
%---------------------
%dataset Define dataset from datamatrix and labels
%datasets
www.eeworm.com/read/400577/11572992
m meanc.m
%MEANC Mean combining classifier
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% W = MEANC(V)
% W = V*MEANC
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% INPUT
% V Set of classifiers (optional)
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% OUTPUT
% W Mean combiner
%
% DESCRIPTION
% If V = [V1,V2,V3, ... ] is a s
www.eeworm.com/read/400577/11573199
m klldc.m
%KLLDC Linear classifier built on the KL expansion of the common covariance matrix
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% W = KLLDC(A,N)
% W = KLLDC(A,ALF)
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% INPUT
% A Dataset
% N Number of significant eigenvectors
% AL
www.eeworm.com/read/400577/11573206
m tree_map.m
%TREE_MAP Map a dataset by binary decision tree
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% F = TREE_MAP(A,W)
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% INPUT
% A Dataset
% W Decision tree mapping
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% OUTPUT
% F Posterior probabilities
%
% DESCRIPTION
% Maps the dataset
www.eeworm.com/read/400577/11573351
m testn.m
%TESTN Error estimate of discriminant for normal distribution.
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% E = TESTN(W,U,G,N)
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% INPUT
% W Trained classifier mapping
% U C x K dataset with C class means, labels and priors (default
www.eeworm.com/read/400577/11573365
m prtestc.m
%PRTESTC Test routine for the PRTOOLS classifier
%
% This script tests a given, untrained classifier w, defined in the
% workspace, e.g. w = my_classifier. The goal is to find out whether
% w fulfill
www.eeworm.com/read/400577/11573371
m prtools.m
% Pattern Recognition Tools
% Version 4.1.4 11-Oct-2008
%
%Datasets and Mappings (just most important routines)
%---------------------
%dataset Define dataset from datamatrix and labels
%datasets