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/149739/12352784
m prodc.m
%PRODC Product combining classifier
%
% W = PRODC(V)
% W = V*PRODC
%
% INPUT
% V Set of classifiers trained on the same classes
%
% OUTPUT
% W Product combiner
%
% DESCRIPTION
% It def
www.eeworm.com/read/149739/12352802
m contents.m
% Pattern Recognition Tools
% Version 4.0.14 04-Mar-2005
%
%Datasets and Mappings (just most important routines)
%---------------------
%dataset Define and retrieve dataset from datamatrix and lab
www.eeworm.com/read/149739/12353001
m contents.m
% Pattern Recognition Tools
% Version URV 24-Mar-2004
%
% This is prelimanary, many support routines in ./private ./@datasets
% and ./@mappings are not mentioned.
%
%Datasets and Mappings (just most i
www.eeworm.com/read/149739/12353351
m prtools.m
% Pattern Recognition Tools
% Version URV 24-Mar-2004
%
% This is prelimanary, many support routines in ./private ./@datasets
% and ./@mappings are not mentioned.
%
%Datasets and Mappings (just most i
www.eeworm.com/read/149739/12353501
m meanc.m
%MEANC Mean combining classifier
%
% W = MEANC(V)
% W = V*MEANC
%
% INPUT
% V Set of classifiers (optional)
%
% OUTPUT
% W Mean combiner
%
% DESCRIPTION
% If V = [V1,V2,V3, ... ] is a s
www.eeworm.com/read/149739/12353551
m ldc.m
%LDC Linear Bayes Normal Classifier (BayesNormal_1)
%
% W = LDC(A,R,S)
%
% INPUT
% A Dataset
% R,S Regularization parameters, 0
www.eeworm.com/read/149739/12353608
m tree_map.m
%TREE_MAP Map a dataset by binary decision tree
%
% F = TREE_MAP(A,W)
%
% INPUT
% A Dataset
% W Decision tree mapping
%
% OUTPUT
% F Posterior probabilities
%
% DESCRIPTION
% Maps the dataset
www.eeworm.com/read/149739/12353918
m testn.m
%TESTN Error estimate of discriminant for normal distribution.
%
% E = TESTN(W,U,G,N)
%
% INPUT
% W Trained classifier mapping
% U C x K dataset with C class means, labels and priors (default
www.eeworm.com/read/149739/12353963
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/149739/12353985
m prtools.m
% Pattern Recognition Tools
% Version 4.0.14 04-Mar-2005
%
%Datasets and Mappings (just most important routines)
%---------------------
%dataset Define and retrieve dataset from datamatrix and lab