代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/158037/11648221
m logist2fit.m
function [beta, p] = logist2Fit(y, x, addOne, w)
% LOGIST2FIT 2 class logsitic classification
% function beta = logist2Fit(y,x, addOne)
%
% y(i) = 0/1
% x(:,i) = i'th input - we optionally append
www.eeworm.com/read/259241/11812511
m logist2fit.m
function [beta, p] = logist2Fit(y, x, addOne, w)
% LOGIST2FIT 2 class logsitic classification
% function beta = logist2Fit(y,x, addOne)
%
% y(i) = 0/1
% x(:,i) = i'th input - we optionally append
www.eeworm.com/read/253950/12174064
htm demglm1.htm
Netlab Reference Manual demglm1
demglm1
Purpose
Demonstrate simple classification using a generalized linear model.
Synopsi
www.eeworm.com/read/253950/12174109
htm demmlp2.htm
Netlab Reference Manual demmlp2
demmlp2
Purpose
Demonstrate simple classification using a multi-layer perceptron
Synopsis
www.eeworm.com/read/150905/12250229
htm demglm1.htm
Netlab Reference Manual demglm1
demglm1
Purpose
Demonstrate simple classification using a generalized linear model.
Synopsi
www.eeworm.com/read/150905/12250279
htm demmlp2.htm
Netlab Reference Manual demmlp2
demmlp2
Purpose
Demonstrate simple classification using a multi-layer perceptron
Synopsis
www.eeworm.com/read/128468/14295335
m multi2dicho.m
function [Idicho]=multi2dicho(Imulti,class1)
% MULTI2DICHO decomposes multi-class problem to dichotomi.
% [Idicho]=multi2dicho(Imulti,class1)
%
% MULTI2DICHO decompose multi-class classification pr
www.eeworm.com/read/13871/284288
m logist2fit.m
function [beta, p] = logist2Fit(y, x, addOne, w)
% LOGIST2FIT 2 class logsitic classification
% function beta = logist2Fit(y,x, addOne)
%
% y(i) = 0/1
% x(:,i) = i'th input - we optionally append
www.eeworm.com/read/430506/1929382
m multi2dicho.m
function [Idicho]=multi2dicho(Imulti,class1)
% MULTI2DICHO decomposes multi-class problem to dichotomi.
% [Idicho]=multi2dicho(Imulti,class1)
%
% MULTI2DICHO decompose multi-class classification pr
www.eeworm.com/read/373460/2761816
m multi2dicho.m
function [Idicho]=multi2dicho(Imulti,class1)
% MULTI2DICHO decomposes multi-class problem to dichotomi.
% [Idicho]=multi2dicho(Imulti,class1)
%
% MULTI2DICHO decompose multi-class classification pr