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/386050/8768279
m featseli.m
%FEATSELI Individual feature selection for classification
%
% [W,R] = FEATSELI(A,CRIT,K,T)
%
% INPUT
% A Training dataset
% CRIT Name of the criterion or untrained mapping
% (default:
www.eeworm.com/read/386050/8769495
m featrank.m
%FEATRANK Feature ranking on individual performance for classification
%
% [I,F] = FEATRANK(A,CRIT,T)
%
% INPUT
% A input dataset
% CRIT string name of a method or untrained mapp
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/183443/9158834
m getkernel.m
function kernel = getkernel(net)
% GETKERNEL
%
% Accessor method returning the kernel used in a support vector classification
% network.
%
% ker = getkernel(net)
%
% File : @svc/
www.eeworm.com/read/181389/9256464
m getkernel.m
function kernel = getkernel(net)
% GETKERNEL
%
% Accessor method returning the kernel used in a support vector classification
% network.
%
% ker = getkernel(net)
%
% File : @svc/
www.eeworm.com/read/181388/9256598
m getkernel.m
function kernel = getkernel(net)
% GETKERNEL
%
% Accessor method returning the kernel used in a support vector classification
% network.
%
% ker = getkernel(net)
%
% File : @svc/
www.eeworm.com/read/373628/9445518
r randomforest.r
### Name: randomForest
### Title: Classification and Regression with Random Forest
### Aliases: randomForest randomForest.formula randomForest.default
### print.randomForest
### Keywords: classi
www.eeworm.com/read/362246/10010125
m contents.m
% Miscellaneous functions for STPRtoolbox.
%
% adaboost - AdaBoost algorithm.
% adaclass - AdaBoost classifier.
% cerror - Computes classification error.
% crossval - Partions data
www.eeworm.com/read/280595/10311910
m contents.m
% Miscellaneous functions for STPRtoolbox.
%
% adaboost - AdaBoost algorithm.
% adaclass - AdaBoost classifier.
% cerror - Computes classification error.
% crossval - Partions data
www.eeworm.com/read/351797/10609674
m getkernel.m
function kernel = getkernel(net)
% GETKERNEL
%
% Accessor method returning the kernel used in a support vector classification
% network.
%
% ker = getkernel(net)
%
% File : @svc/