代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
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www.eeworm.com/read/300368/13917837
java distributionmetaclassifier.java
/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either vers
www.eeworm.com/read/139298/5803176
java perturbationencapsulation.java
package fasbir.ensemblers;
import weka.core.*;
import weka.classifiers.Classifier;
/**
* Description: Abstract class of perturbation methods
* A perturbation method is a meta classif
www.eeworm.com/read/439468/7708204
m parsecmd.m
function [classifier, para, other_classifier] = ParseCmd(classifier_str, delimiter)
% Extract the parameters and classifiers
[classifier rem] = strtok(classifier_str);
para = [];
additional_cl
www.eeworm.com/read/143706/12850152
m parsecmd.m
function [classifier, para, other_classifier] = ParseCmd(classifier_str, delimiter)
% Extract the parameters and classifiers
[classifier rem] = strtok(classifier_str);
para = [];
additional_cl
www.eeworm.com/read/218623/14912088
m parsecmd.m
function [classifier, para, other_classifier] = ParseCmd(classifier_str, delimiter)
% Extract the parameters and classifiers
[classifier rem] = strtok(classifier_str);
para = [];
additional_cl
www.eeworm.com/read/450608/7480151
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,H] = PARZENC(A)
% W = PARZENC(A,H,FID)
%
% INPUT
% A dataset
% H smoothing parameter (may be scalar, vector of per-class
% param
www.eeworm.com/read/137160/13341934
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,H] = PARZENC(A)
% W = PARZENC(A,H,FID)
%
% INPUT
% A dataset
% H smoothing parameter (may be scalar, vector of per-class
% param
www.eeworm.com/read/314653/13562279
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,H] = PARZENC(A)
% W = PARZENC(A,H,FID)
%
% INPUT
% A dataset
% H smoothing parameter (may be scalar, vector of per-class
% param
www.eeworm.com/read/493294/6400005
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,H] = PARZENC(A)
% W = PARZENC(A,H,FID)
%
% INPUT
% A dataset
% H smoothing parameter (may be scalar, vector of per-class
% param
www.eeworm.com/read/256799/11971850
m parzenc.m
%PARZENC Optimisation of the Parzen classifier
%
% [W,H] = PARZENC(A)
% W = PARZENC(A,H,FID)
%
% INPUT
% A dataset
% H smoothing parameter (may be scalar, vector of per-class
% param