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/386050/8769288
m isclassifier.m
%ISCLASSIFIER Test on normed classifier
%
% I = ISCLASSIFIER(W)
% ISCLASSIFIER(W)
%
% A mapping W is a classifier if its OUT_CONV field is larger
% than zero. In that case confidences will be r
www.eeworm.com/read/428849/8833337
m~ bayesdf.m~
function quad_model=bayesdf(model)
% BAYESDF Computes decision boundary of Bayesian classifier.
%
% Synopsis:
% quad_model = bayesdf(model)
%
% Description:
% This function computes parameter
www.eeworm.com/read/428849/8833344
m bayesdf.m
function quad_model=bayesdf(model)
% BAYESDF Computes decision boundary of Bayesian classifier.
%
% Synopsis:
% quad_model = bayesdf(model)
%
% Description:
% This function computes parameter
www.eeworm.com/read/428849/8834649
m contents.m
% Miscellaneous functions for STPRtoolbox.
%
% adaboost - AdaBoost algorithm.
% adaclass - AdaBoost classifier.
% cerror - Computes classification error.
% crossval - Partions data
www.eeworm.com/read/428451/8867200
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/428451/8867247
m code.m
function [nsignals, codebook, oldcodebook, scheme] = code(signals,codetype,codetype_args,oldcodebook,fctdist,fctdist_args)
% Encode and decode a multi-class classification task into multiple binary cl
www.eeworm.com/read/427586/8931948
m bay_modoutclass.m
function [Pplus, Pmin, bay,model] = bay_modoutClass(model,X,priorpos,type,nb,bay)
% Estimate the posterior class probabilities of a binary classifier using Bayesian inference
%
% >> [Ppos, Pneg] = bay
www.eeworm.com/read/427586/8931962
asv ls_svm2.asv
% 支持向量机最小二乘算法(LS-SVM)--可用于分类和回归？？？
% function [ output_args ] = SvmLs( input_args )
clc
clear
close all
m = 4; % 样本维数
TrainSample = [1+rand(m,5),2+rand(m,5),3+rand(m,5),4+rand(m,5)];
TrainTa
www.eeworm.com/read/427586/8932057
m code.m
function [nsignals, codebook, oldcodebook, scheme] = code(signals,codetype,codetype_args,oldcodebook,fctdist,fctdist_args)
% Encode and decode a multi-class classification task into multiple binary cl
www.eeworm.com/read/427586/8932228
asv code.asv
function [nsignals, codebook, oldcodebook, scheme] = code(signals,codetype,codetype_args,oldcodebook,fctdist,fctdist_args)
% Encode and decode a multi-class classification task into multiple binary cl