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/314653/13562518
m roc.m
%ROC Receiver-Operator Curve
%
% E = ROC(A,W,C,N)
% E = ROC(B,C,N)
%
% INPUT
% A Dataset
% W Trained classifier, or
% B Classification result, B = A*W*CLASSC
% C Index of desired clas
www.eeworm.com/read/128293/5992029
java bbstester.java
package BBSSpider;
import Classification.ArticleBatch;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.File;
import java.util
www.eeworm.com/read/124910/6036223
c s_fpclassifyl.c
/* Return classification value corresponding to argument. m68k version.
Copyright (C) 1997, 2001, 2002 Free Software Foundation, Inc.
This file is part of the GNU C Library.
Contributed by U
www.eeworm.com/read/122504/6065339
java bin.java
/*
* Bin.java
*
* Created on March 28, 2001, 1:06 PM
*/
package uk.ac.leeds.ccg.geotools.classification;
import uk.ac.leeds.ccg.geotools.misc.*;
/** A bin specifies a range of values be
www.eeworm.com/read/286592/6282739
m sublargesvc.m
function [nsv, alpha, b0] = sublargesvc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Tr
www.eeworm.com/read/286592/6282740
asv sublargesvc.asv
function [nsv, alpha, b0] = sublargesvc(X,Y,ker,C)
%SVC Support Vector Classification
%
% Usage: [nsv alpha bias] = svc(X,Y,ker,C)
%
% Parameters: X - Training inputs
% Y - Tr
www.eeworm.com/read/493294/6400255
m roc.m
%ROC Receiver-Operator Curve
%
% E = ROC(A,W,C,N)
% E = ROC(B,C,N)
%
% INPUT
% A Dataset
% W Trained classifier, or
% B Classification result, B = A*W*CLASSC
% C Index of desired clas
www.eeworm.com/read/484356/6586067
m nfcv.m
function [xapp,yapp,xtest,ytest,indice]=nfcv(x,y,N,k,classcode)
% USAGE
% [xapp,yapp,xtest,ytest]=nfcv(x,y,N,k)
% this is for classification with output code as -1 1
% so that the prior prob of
www.eeworm.com/read/482389/6623850
1 ripper.1
.EN
.TH RIPPER 1
.SH NAME
.PP
ripper \- learns a rule set from examples
.SH SYNOPSIS
.PP
.B ripper
[ options ] filestem
.SH DESCRIPTION
.PP
.I Ripper
is a program for inducing classification rules fro
www.eeworm.com/read/400577/11572987
m roc.m
%ROC Receiver-Operator Curve
%
% E = ROC(A,W,C,N)
% E = ROC(B,C,N)
%
% INPUT
% A Dataset
% W Trained classifier, or
% B Classification result, B = A*W*CLASSC
% C Index of desired clas