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/150905/12249345
m reject.m
%REJECT Compute the error-reject trade-off curve
%
% E = REJECT(D);
% E = REJECT(A,W);
%
% INPUT
% D Classification result, D = A*W
% A Dataset
% W Cell array of trained classifiers
www.eeworm.com/read/150905/12249399
m setcost.m
%SETCOST Reset classification cost matrix of mapping
%
% W = SETCOST(W,COST,LABLIST)
%
% The classification cost matrix of the dataset W is reset to COST.
% W has to be a trained classifier. CO
www.eeworm.com/read/150905/12249704
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/150758/12266353
readme
BSVM:
*****************************************************************
COPYRIGHT NOTIFICATION
BSVM can be freely used for research purpose.
Use for commercial purposes is expressly proh
www.eeworm.com/read/149739/12352950
m setcost.m
%SETCOST Reset classification cost matrix of dataset
%
% A = SETCOST(A,COST,LABLIST)
%
% The classification cost matrix of the dataset A is reset to COST.
% COST should have size [C,C+n], n >= 0, if
www.eeworm.com/read/149739/12353638
m reject.m
%REJECT Compute the error-reject trade-off curve
%
% E = REJECT(D);
% E = REJECT(A,W);
%
% INPUT
% D Classification result, D = A*W
% A Dataset
% W Cell array of trained classifiers
www.eeworm.com/read/149739/12353703
m setcost.m
%SETCOST Reset classification cost matrix of mapping
%
% W = SETCOST(W,COST,LABLIST)
%
% The classification cost matrix of the dataset W is reset to COST.
% W has to be a trained classifier. CO
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/148789/12425863
rd gausspr.rd
\name{gausspr}
\alias{gausspr}
\alias{gausspr,formula-method}
\alias{gausspr,vector-method}
\alias{gausspr,matrix-method}
\alias{show,gausspr-method}
\alias{predict,gausspr-method}
%- Also NEED an '\a
www.eeworm.com/read/131090/14161581
cla rule4reg.cla
classification
4 2
0
x trapezoid 0.0 2.3333 2.3333 4.6666
y trapezoid 0.0 2.3333 2.3333 4.6666
1
x trapezoid 0.0 2.3333 2.3333 4.6666
y trapezoid 2.3333 4.6666 4.6666 7.0
2
x trapezoid 2.3333 4.666