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/432474/1892384
c isxdigit.c
/* isxdigit.c - character classification and conversion macros */
/* Copyright 1992-1993 Wind River Systems, Inc. */
/*
modification history
--------------------
01e,03mar93,jdi more documentation
www.eeworm.com/read/431876/1902856
c isxdigit.c
/* isxdigit.c - character classification and conversion macros */
/* Copyright 1992-1993 Wind River Systems, Inc. */
/*
modification history
--------------------
01e,03mar93,jdi more documentation
www.eeworm.com/read/428780/1954016
m contents.m
% Data sets used by the STPRtool.
%
% andersons_task - (dir) Input for demo on Generalized Anderson's task.
% binary_separable - (dir) Input for demo on Linear classification.
% gmm_sample - (
www.eeworm.com/read/428780/1954136
m contents.m
% Data sets used by the STPRtool.
%
% andersons_task - (dir) Input for demo on Generalized Anderson's task.
% binary_separable - (dir) Input for demo on Linear classification.
% gmm_sample - (
www.eeworm.com/read/428641/1957402
c isxdigit.c
/* isxdigit.c - character classification and conversion macros */
/* Copyright 1992-1993 Wind River Systems, Inc. */
/*
modification history
--------------------
01e,03mar93,jdi more documentation
www.eeworm.com/read/418308/2090878
c isxdigit.c
/* isxdigit.c - character classification and conversion macros */
/* Copyright 1992-1993 Wind River Systems, Inc. */
/*
modification history
--------------------
01e,03mar93,jdi more documentation
www.eeworm.com/read/413855/2157506
hh cpuswitch.hh
#ifndef CPUSWITCH_HH
#define CPUSWITCH_HH
#include
/*
* =c
* CPUSwitch()
* =s classification
* classifies packets by cpu
* =d
* Can have any number of outputs.
* Chooses the
www.eeworm.com/read/413855/2158243
hh hashswitch.hh
#ifndef CLICK_HASHSWITCH_HH
#define CLICK_HASHSWITCH_HH
#include
CLICK_DECLS
/*
* =c
* HashSwitch(OFFSET, LENGTH)
* =s classification
* classifies packets by hash of contents
www.eeworm.com/read/411379/2188969
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu
www.eeworm.com/read/411379/2189009
m fwd.m
function y = fwd(net,x)
% FWD
%
% Compute the output of a multi-class support vector classification network.
%
% y = fwd(net, x);
%
% where x is a matrix of input patterns, where each colu