File: multiclass1V1fsvmDownload   Add to favorates  [Vote: very good!  5  4  3  2  1 Vote: very bad!]
  Directory: AI-NN-PR
  Dev tools: matlab
  File size: 6 KB
  Update: 2008-05-25
  Downloads: 22
  Uploader: clh840203
 Describe: These procedures is a multiclass classification Another way to deal with, one-on-one also had a deal with fuzzy
File list(time 2008020109~2009121601)(Click to check if it's the file you need, and recomment it at the bottom):
  multiclass1V1fsvm
  .................\fsvmclass.m
  .................\fsvmkernel.m
  .................\fsvmmulticlass1v1.m
  .................\monqp.m
  .................\myfsvm.m
  .................\svmmultivaloneagainstone.m
 To Search: svm multi fsvm Fuzzy multiclass 
 Search in more than 1370000 codes/documents:
 [svm_v0.01beta.tar.gz] - New in this version : Support for multi-class pattern recognition u maxwins sing, Pairwise [4] and DAG- SVM [5] algorithms. A mode l selection criteri
 [mymulti1V1svm.rar] - Pattern recognition in one-on-one multi-category classifier, also known as multiclasssvm
 [multiclass1Vallfsvm.rar] - This procedure achieved a SVM-based method based on fuzzy classification of samples of treatment. Make it more accurate

 [@dagsvm.zip] - Directed acyclic graph support vector (DAG-SVMS) multi-category classification methods, is a new multi-category classification methods. The method use
 [Anfis.rar] - Fuzzy control Design using ANFIS for a power system with svc
 [GUI_PR_SVM.rar] - graphical interface with support vector machines more experimental classification system. All using Matlab, could achieve multiple classification. Thi
 [SVM.rar] - Support vector machine for multi-classification procedures, can be used to run.
 [xplhx.rar] - "rubber line drawing of the" C language (C language for graphics programming reference), the simulation of many of graphics tools line drawi
 [Linux_block_driver.rar] - under linux block block device driver source code analysis.
 [fsvm_pca.rar] - Fuzzy Support Vector Machine with Principal Component Analysis Applied on Face Recognition