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/105889/6197275
java mathtransformfactory.java
/*$************************************************************************************************
**
** $Id: MathTransformFactory.java,v 1.1 2004/05/06 15:51:51 desruisseaux Exp $
**
** $Source:
www.eeworm.com/read/493294/6400067
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/493294/6400345
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/493294/6400376
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/493294/6400486
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/481259/6646731
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/480116/6677163
ada plot.ada
plot.ada package:ada R Documentation
_P_l_o_t_s _f_o_r _A_d_a
_D_e_s_c_r_i_p_t_i_o_n:
This function produces plots of the overall cl
www.eeworm.com/read/410158/11300471
readme
Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It solves C-SVM classification, nu-SVM
classification, one-class-SVM, epsilon-SVM regression, and nu-SVM
www.eeworm.com/read/407916/11408565
news
MultiBoost 0.71:
New release with some important bugfixes.
- Added output of the classification prediction.
- Fixed Bad bug which made the -d option useless.
- Now multiple declarations of the
www.eeworm.com/read/400577/11572768
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