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libsvm-ranksvm-3.18
  • Classification:Numerical Algorithm-Artificial Intelligence - matlab
  • Development Tool:matlab
  • Sise:55.0 KB
  • Upload time:2014/8/5 14:31:39
  • Uploader:boycodon00
  • Download Statistics:
Description
linear svm method for version 3.18




File list:
libsvm-ranksvm-3.18
..................\blas
..................\....\blas.h
..................\....\blasp.h
..................\....\daxpy.c
..................\....\ddot.c
..................\....\dgemm.c
..................\....\dgemv.c
..................\....\dger.c
..................\....\dnrm2.c
..................\....\dscal.c
..................\....\dspmv.c
..................\....\f2c.h
..................\....\lsame.c
..................\....\Makefile
..................\....\xerbla.c
..................\blas.h
..................\bodyfat_scale_qid
..................\COPYRIGHT
..................\Makefile
..................\README.ranksvm
..................\selectiontree.cpp
..................\selectiontree.h
..................\svm-predict.c
..................\svm-scale.c
..................\svm-train.c
..................\svm.cpp
..................\svm.h
..................\tron.cpp
..................\tron.h
Related source code
[libsvm-3.20] - this is a good library for support vector machines(svm) that can use for classification.
[use_libsvzm] - To use precomputed kernel, you must include sample serial number asthe first column of the training and testing data (assume your kernelmatrix is K, # of instances is n):
[libsvm-3.12] - code matlab svm ( suport vector machine )
[use_libsvm(1)] - ce source est utiliser pour la classification
[libsvm-3.13] - toolbox path for svmlib
[libsvm-matlab] - libsvm library for machine learning
[libsvm_format] - Transform data to the format of an SVM package(libsvm)Each row represents one record[label] [index1]:[value1] [index2]:[value2] ...2‐class label: +1, ‐1n‐class label: 1..n
[libsvm-2.91] - Face recognition based on c source code, very rare piece of code source code integrity, and can be used directly.
[libsvm-2.88] - libsvm-2.88
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