文件名称:svm_v0.55beta
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
压缩包 : 960834svm_v0.55beta.zip 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