Code/Resource
Windows Develop
Linux-Unix program
Internet-Socket-Network
Web Server
Browser Client
Ftp Server
Ftp Client
Browser Plugins
Proxy Server
Email Server
Email Client
WEB Mail
Firewall-Security
Telnet Server
Telnet Client
ICQ-IM-Chat
Search Engine
Sniffer Package capture
Remote Control
xml-soap-webservice
P2P
WEB(ASP,PHP,...)
TCP/IP Stack
SNMP
Grid Computing
SilverLight
DNS
Cluster Service
Network Security
Communication-Mobile
Game Program
Editor
Multimedia program
Graph program
Compiler program
Compress-Decompress algrithms
Crypt_Decrypt algrithms
Mathimatics-Numerical algorithms
MultiLanguage
Disk/Storage
Java Develop
assembly language
Applications
Other systems
Database system
Embeded-SCM Develop
FlashMX/Flex
source in ebook
Delphi VCL
OS Develop
MiddleWare
MPI
MacOS develop
LabView
ELanguage
Software/Tools
E-Books
Artical/Document
svm_nu.h
Package: svm.rar [view]
Upload User: xgw_05
Upload Date: 2014-12-08
Package Size: 2726k
Code Size: 2k
Category:
.net
Development Platform:
Java
- #ifndef svm_nu_h
- #define svm_nu_h 1
- #include "svm_c.h"
- /**
- * base class for nu SVMs
- *
- * @author Stefan Rueping <rueping@ls8.cs.uni-dortmund.de>
- * @version 0.1
- *
- **/
- class svm_nu_regression_c : public svm_c{
- protected:
- SVMFLOAT lambda_nu;
- SVMFLOAT lambda_nu_WS;
- SVMFLOAT sum_alpha_nu;
- SVMFLOAT nu;
- virtual void reset_shrinked();
- virtual void init(kernel_c* new_kernel, parameters_c* new_parameters);
- virtual void init_optimizer();
- virtual int is_alpha_neg(const SVMINT i);
- virtual SVMFLOAT lambda(const SVMINT i);
- virtual int feasible(const SVMINT i);
- virtual SVMFLOAT nabla(const SVMINT i);
- virtual void project_to_constraint();
- virtual int convergence();
- virtual void init_working_set();
- virtual void shrink();
- virtual void optimize();
- virtual void print_special_statistics();
- public:
- svm_nu_regression_c() : svm_c() { lambda_nu = 0; };
- };
- class svm_nu_pattern_c : public svm_nu_regression_c{
- protected:
- virtual SVMFLOAT nabla(const SVMINT i);
- virtual void init(kernel_c* new_kernel, parameters_c* new_parameters);
- virtual void init_optimizer();
- virtual void update_working_set();
- virtual void init_working_set();
- virtual void print_special_statistics();
- public:
- svm_nu_pattern_c() : svm_nu_regression_c() {};
- };
- class svm_distribution_c : public svm_pattern_c{
- protected:
- SVMFLOAT nu;
- virtual int is_alpha_neg(const SVMINT i);
- virtual SVMFLOAT nabla(const SVMINT i);
- virtual SVMFLOAT lambda(const SVMINT i);
- virtual int feasible(const SVMINT i);
- virtual int feasible(const SVMINT i, SVMFLOAT* the_nabla, SVMFLOAT* the_lambda, int* atbound);
- virtual void init(kernel_c* new_kernel, parameters_c* new_parameters);
- virtual void init_optimizer();
- virtual void project_to_constraint();
- virtual int convergence();
- virtual void init_working_set();
- virtual void print_special_statistics();
- public:
- svm_distribution_c() : svm_pattern_c() {};
- };
- #endif