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文件名称:svm_v0.55beta

修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

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/
svm_v0.55/@dagsvm/
svm_v0.55/@dagsvm/dagsvm.m
svm_v0.55/@dagsvm/fwd.m
svm_v0.55/@dagsvm/getnsv.m
svm_v0.55/@dagsvm/train.m
svm_v0.55/@linear/
svm_v0.55/@linear/char.m
svm_v0.55/@linear/display.m
svm_v0.55/@linear/evaluate.m
svm_v0.55/@linear/linear.m
svm_v0.55/@maxwin/
svm_v0.55/@maxwin/fwd.m
svm_v0.55/@maxwin/maxwin.m
svm_v0.55/@maxwin/train.m
svm_v0.55/@pairwise/
svm_v0.55/@pairwise/fwd.m
svm_v0.55/@pairwise/pairwise.m
svm_v0.55/@pairwise/train.m
svm_v0.55/@polynomial/
svm_v0.55/@polynomial/char.m
svm_v0.55/@polynomial/display.m
svm_v0.55/@polynomial/evaluate.m
svm_v0.55/@polynomial/polynomial.m
svm_v0.55/@rbf/
svm_v0.55/@rbf/char.m
svm_v0.55/@rbf/compilemex.m
svm_v0.55/@rbf/display.m
svm_v0.55/@rbf/evaluate.c
svm_v0.55/@rbf/evaluate.m
svm_v0.55/@rbf/evaluate.mexglx
svm_v0.55/@rbf/r.m
svm_v0.55/@rbf/rbf.m
svm_v0.55/@smosvctutor/
svm_v0.55/@smosvctutor/Cache.h
svm_v0.55/@smosvctutor/compilemex.m
svm_v0.55/@smosvctutor/InfCache.cpp
svm_v0.55/@smosvctutor/InfCache.h
svm_v0.55/@smosvctutor/LrrCache.cpp
svm_v0.55/@smosvctutor/LrrCache.h
svm_v0.55/@smosvctutor/smosvctrain.cpp
svm_v0.55/@smosvctutor/smosvctrain.mexglx
svm_v0.55/@smosvctutor/smosvctutor.m
svm_v0.55/@smosvctutor/SmoTutor.cpp
svm_v0.55/@smosvctutor/SmoTutor.h
svm_v0.55/@smosvctutor/train.m
svm_v0.55/@smosvctutor/utils.hh
svm_v0.55/@svc/
svm_v0.55/@svctutor/
svm_v0.55/@svctutor/svctutor.m
svm_v0.55/@svc/.xialpha.m.swp
svm_v0.55/@svc/compact.m
svm_v0.55/@svc/display.m
svm_v0.55/@svc/fixduplicates.m
svm_v0.55/@svc/fwd.m
svm_v0.55/@svc/getbias.m
svm_v0.55/@svc/getkernel.m
svm_v0.55/@svc/getnsv.m
svm_v0.55/@svc/getsv.m
svm_v0.55/@svc/getw.m
svm_v0.55/@svc/strip.m
svm_v0.55/@svc/svc.m
svm_v0.55/@svc/train.m
svm_v0.55/@svc/xialpha.m
svm_v0.55/compilemex.m
svm_v0.55/correctness.m
svm_v0.55/dagsvmdemo.m
svm_v0.55/data/
svm_v0.55/data/iris.names
svm_v0.55/data/iris.txt
svm_v0.55/demo.m
svm_v0.55/doc/
svm_v0.55/doc/apalike.bst
svm_v0.55/doc/apalike.sty
svm_v0.55/doc/Makefile
svm_v0.55/doc/manual.aux
svm_v0.55/doc/manual.bbl
svm_v0.55/doc/manual.bib
svm_v0.55/doc/manual.blg
svm_v0.55/doc/manual.dvi
svm_v0.55/doc/manual.log
svm_v0.55/doc/manual.ps
svm_v0.55/doc/manual.tex
svm_v0.55/licence.txt
svm_v0.55/readme.txt

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