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/122504/6065342
java naturalbreaks.java
/*
* NaturalBreaks.java
*
* Created on 02 November 2001, 19:08
*/
package uk.ac.leeds.ccg.geotools.classification;
import uk.ac.leeds.ccg.geotools.*;
import com.sun.java.util.collection
www.eeworm.com/read/105889/6197255
java nosuchclassificationexception.java
/*$************************************************************************************************
**
** $Id: NoSuchClassificationException.java,v 1.1 2004/05/06 15:51:50 desruisseaux Exp $
**
**
www.eeworm.com/read/103451/6215552
cpp voter.cpp
//-------------------------------------------------------------------
// Author........: Aleksander 豩rn
// Date..........: 9608/9609
// Description...:
// Revisions.....:
//======================
www.eeworm.com/read/103451/6215732
cpp rulebasedclassification.cpp
//-------------------------------------------------------------------
// Author........: Aleksander 豩rn
// Date..........:
// Description...:
// Revisions.....:
//================================
www.eeworm.com/read/101082/6245823
3 ctype.3
.\" SCCSID: @(#)ctype.3 2.7 8/13/87
.TH ctype 3
.SH Name
isalpha, isupper, islower, isdigit, isxdigit, isalnum, isspace, ispunct, isprint, isgraph, iscntrl, isascii \- character classification macros
www.eeworm.com/read/101082/6247687
3 ctype.3
.\" SCCSID: @(#)ctype.3 2.7 8/13/87
.TH ctype 3
.SH Name
isalpha, isupper, islower, isdigit, isxdigit, isalnum, isspace, ispunct, isprint, isgraph, iscntrl, isascii \- character classification macros
www.eeworm.com/read/286592/6282719
m softmargin.m
function y = softmargin(x)
%SOFTMARGIN Support Vector Classification Softmargin
%
% Usage: y = softmargin(x)
%
% Author: Zhou Weida(Zhouwd@rsp.xidian.edu.cn)
if (nargin ~= 1) % check correct numb
www.eeworm.com/read/120147/6303439
m contents.m
% Neural Network Design Demonstrations.
% Copyright (c) 1994 by PWS Publishing Company.
%
% General
% nnd - Splash screen.
% nndtoc - Table of contents.
% nnsound - Turn Neural Net
www.eeworm.com/read/493513/6394794
java trainingdatamanager.java
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.InputStreamReader;
import j
www.eeworm.com/read/493294/6399970
m bpxnc.m
%BPXNC Back-propagation trained feed-forward neural net classifier
%
% [W,HIST] = BPXNC (A,UNITS,ITER,W_INI,T,FID)
%
% INPUT
% A Dataset
% UNITS Array indicating number of units in each h