文件名称:svm_v0.55beta
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 168kb
- 下载次数：
- 0次
- 提 供 者：
- 金*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. -The newest work tools of svm,it will be very convenient to have it.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
svm_v0.55
.........\@dagsvm
.........\.......\dagsvm.m
.........\.......\fwd.m
.........\.......\getnsv.m
.........\.......\train.m
.........\@linear
.........\.......\char.m
.........\.......\display.m
.........\.......\evaluate.m
.........\.......\linear.m
.........\@maxwin
.........\.......\fwd.m
.........\.......\maxwin.m
.........\.......\train.m
.........\@pairwise
.........\.........\fwd.m
.........\.........\pairwise.m
.........\.........\train.m
.........\@polynomial
.........\...........\char.m
.........\...........\display.m
.........\...........\evaluate.m
.........\...........\polynomial.m
.........\@rbf
.........\....\char.m
.........\....\compilemex.m
.........\....\display.m
.........\....\evaluate.c
.........\....\evaluate.m
.........\....\evaluate.mexglx
.........\....\r.m
.........\....\rbf.m
.........\@smosvctutor
.........\............\Cache.h
.........\............\compilemex.m
.........\............\InfCache.cpp
.........\............\InfCache.h
.........\............\LrrCache.cpp
.........\............\LrrCache.h
.........\............\smosvctrain.cpp
.........\............\smosvctrain.mexglx
.........\............\smosvctutor.m
.........\............\SmoTutor.cpp
.........\............\SmoTutor.h
.........\............\train.m
.........\............\utils.hh
.........\@svc
.........\....\.xialpha.m.swp
.........\....\compact.m
.........\....\display.m
.........\....\fixduplicates.m
.........\....\fwd.m
.........\....\getbias.m
.........\....\getkernel.m
.........\....\getnsv.m
.........\....\getsv.m
.........\....\getw.m
.........\....\strip.m
.........\....\svc.m
.........\....\train.m
.........\....\xialpha.m
.........\@svctutor
.........\.........\svctutor.m
.........\compilemex.m
.........\correctness.m
.........\dagsvmdemo.m
.........\data
.........\....\iris.names
.........\....\iris.txt
.........\demo.m
.........\doc
.........\...\apalike.bst
.........\...\apalike.sty
.........\...\Makefile
.........\...\manual.aux
.........\...\manual.bbl
.........\...\manual.bib
.........\...\manual.blg
.........\...\manual.dvi
.........\...\manual.log
.........\...\manual.ps
.........\...\manual.tex
.........\licence.txt
.........\readme.txt
.........\@dagsvm
.........\.......\dagsvm.m
.........\.......\fwd.m
.........\.......\getnsv.m
.........\.......\train.m
.........\@linear
.........\.......\char.m
.........\.......\display.m
.........\.......\evaluate.m
.........\.......\linear.m
.........\@maxwin
.........\.......\fwd.m
.........\.......\maxwin.m
.........\.......\train.m
.........\@pairwise
.........\.........\fwd.m
.........\.........\pairwise.m
.........\.........\train.m
.........\@polynomial
.........\...........\char.m
.........\...........\display.m
.........\...........\evaluate.m
.........\...........\polynomial.m
.........\@rbf
.........\....\char.m
.........\....\compilemex.m
.........\....\display.m
.........\....\evaluate.c
.........\....\evaluate.m
.........\....\evaluate.mexglx
.........\....\r.m
.........\....\rbf.m
.........\@smosvctutor
.........\............\Cache.h
.........\............\compilemex.m
.........\............\InfCache.cpp
.........\............\InfCache.h
.........\............\LrrCache.cpp
.........\............\LrrCache.h
.........\............\smosvctrain.cpp
.........\............\smosvctrain.mexglx
.........\............\smosvctutor.m
.........\............\SmoTutor.cpp
.........\............\SmoTutor.h
.........\............\train.m
.........\............\utils.hh
.........\@svc
.........\....\.xialpha.m.swp
.........\....\compact.m
.........\....\display.m
.........\....\fixduplicates.m
.........\....\fwd.m
.........\....\getbias.m
.........\....\getkernel.m
.........\....\getnsv.m
.........\....\getsv.m
.........\....\getw.m
.........\....\strip.m
.........\....\svc.m
.........\....\train.m
.........\....\xialpha.m
.........\@svctutor
.........\.........\svctutor.m
.........\compilemex.m
.........\correctness.m
.........\dagsvmdemo.m
.........\data
.........\....\iris.names
.........\....\iris.txt
.........\demo.m
.........\doc
.........\...\apalike.bst
.........\...\apalike.sty
.........\...\Makefile
.........\...\manual.aux
.........\...\manual.bbl
.........\...\manual.bib
.........\...\manual.blg
.........\...\manual.dvi
.........\...\manual.log
.........\...\manual.ps
.........\...\manual.tex
.........\licence.txt
.........\readme.txt