代码搜索：classifiers
找到约 2,305 项符合「classifiers」的源代码
代码结果 2,305
www.eeworm.com/read/414605/2143829
c sc.c
/* *********************************************************************
sc.c - creates classifiers from feature vectors of examples, as well as
classifying example feature vectors.
Copyright (C)
www.eeworm.com/read/398200/2383311
h sc.h
/***********************************************************************
sc.h - creates classifiers from feature vectors of examples, as well as
classifying example feature vectors.
Copyright (C)
www.eeworm.com/read/398200/2383323
c sc.c
/***********************************************************************
sc.c - creates classifiers from feature vectors of examples, as well as
classifying example feature vectors.
Copyright (C)
www.eeworm.com/read/158793/5594838
h sc.h
/* *********************************************************************
sc.h - creates classifiers from feature vectors of examples, as well as
classifying example feature vectors.
Copyright (C)
www.eeworm.com/read/158793/5594850
c sc.c
/* *********************************************************************
sc.c - creates classifiers from feature vectors of examples, as well as
classifying example feature vectors.
Copyright (C)
www.eeworm.com/read/158106/5598562
h sc.h
/***********************************************************************
sc.h - creates classifiers from feature vectors of examples, as well as
classifying example feature vectors.
Copyright (C)
www.eeworm.com/read/158106/5598574
c sc.c
/***********************************************************************
sc.c - creates classifiers from feature vectors of examples, as well as
classifying example feature vectors.
Copyright (C)
www.eeworm.com/read/293183/8310209
m baggingc.m
%BAGGINGC Bootstrapping and aggregation of classifiers
%
% W = baggingc(A,classf,n,cclassf,T)
%
% Computation of a stabilized version of a classifier by
% bootstrapping and aggregation ('bagging
www.eeworm.com/read/429426/1948893
py majority.py
# Description: Shows how to "learn" the majority class and compare other classifiers to the default classification
# Category: default classification accuracy, statistics
# Classes: MajorityL
www.eeworm.com/read/289680/8535089
m smosvctutor.m
function tutor = smosvctutor(arg)
% SMOSVCTUTOR
%
% Construct a tutor object for training support vector classifiers using the
% sequential minimal optimisation algorithm.
%
% Examples:
%
%