代码搜索：Patterns
找到约 8,017 项符合「Patterns」的源代码
代码结果 8,017
www.eeworm.com/read/431664/1905204
doxyfile
PROJECT_NAME = "nea"
OUTPUT_DIRECTORY = ../docs/html/nea
INPUT = nea.docs . sofia-sip
@INCLUDE = ../docs/Doxyfile.conf
EXCLUDE_PATTERNS = test*.c torture*.c
TAGFILES
www.eeworm.com/read/430506/1929463
m svmclass.m
function [Ipred,fpred] = svmclass(Xtst,Xtrn,Itrn,alpha,bias,ker,arg,info)
% SVMCLASS classifies patterns using SVM decision rule.
% [Ipred,fpred] = svmclass(Xtst,Xtrn,Itrn,Alpha,bias,ker,arg)
%
% In
www.eeworm.com/read/429836/1945303
java builderexample.java
package Jt.examples.patterns;
import Jt.JtBuilder;
import Jt.JtComposite;
import Jt.JtFactory;
import Jt.JtInterface;
import Jt.JtMessage;
import Jt.JtObject;
/**
* Demonstrates the
www.eeworm.com/read/406309/2278681
c wildmat.c
/* $XConsortium: wildmat.c,v 1.2 94/04/13 18:40:59 rws Exp $ */
/*
**
** Do shell-style pattern matching for ?, \, [], and * characters.
** Might not be robust in face of malformed patterns; e.g., "
www.eeworm.com/read/373460/2761897
m svmclass.m
function [Ipred,fpred] = svmclass(Xtst,Xtrn,Itrn,alpha,bias,ker,arg,info)
% SVMCLASS classifies patterns using SVM decision rule.
% [Ipred,fpred] = svmclass(Xtst,Xtrn,Itrn,Alpha,bias,ker,arg)
%
% In
www.eeworm.com/read/366702/2879562
c 20060419-1.c
/* This failed because if conversion didn't handle insv patterns properly. */
union y
{
int a;
unsigned short b;
};
extern void bar (unsigned short u, union y v);
void
foo (int check)
{
unio
www.eeworm.com/read/366702/2881839
c 20060425-1.c
/* { dg-do run } */
/* { dg-options "-O1" } */
/* This failed because if conversion didn't handle insv patterns properly. */
void abort (void);
union y
{
int a;
unsigned short b;
};
void __at
www.eeworm.com/read/351409/3108329
pat art2_tetra.pat
SNNS pattern definition file V3.2
generated at Mon Sep 4 15:43:27 1995
No. of patterns : 40
No. of input units : 3
No. of output units : 0
-0.4489724 0.69061031 -0.9544328
-1.224699
www.eeworm.com/read/159608/5582328
m reduced_svm.m
function [rvect, rweight, rthresh, discrepancy]=reduced_svm(patterns, labels, svect, alpha, rv_num, epsilon_discrepancy, max_it, max_attempt)
global C;
global kernel;
global deg;
if nargin
www.eeworm.com/read/367442/9748010
m svmclass.m
function [Ipred,fpred] = svmclass(Xtst,Xtrn,Itrn,alpha,bias,ker,arg,info)
% SVMCLASS classifies patterns using SVM decision rule.
% [Ipred,fpred] = svmclass(Xtst,Xtrn,Itrn,Alpha,bias,ker,arg)
%
% In