文件列表:

libsvm_matlab\contents.m (489, 2005-09-12)
libsvm_matlab\demo1.m (2587, 2005-09-09)
libsvm_matlab\demo2.m (2418, 2005-09-12)
libsvm_matlab\demo3.m (1924, 2005-09-13)
libsvm_matlab\demo4.m (1960, 2005-09-05)
libsvm_matlab\demo5.m (2036, 2005-09-12)
libsvm_matlab\libsvmopt.m (4447, 2005-09-12)
libsvm_matlab\libsvmsim.m (1490, 2005-09-12)
libsvm_matlab\mexlibsvm.m (1286, 2005-09-13)
libsvm_matlab\source\libsvmaux.c (27405, 2005-09-13)
libsvm_matlab\source\libsvmaux.h (3687, 2005-09-09)
libsvm_matlab\source\libsvmopt.c (8664, 2005-09-05)
libsvm_matlab\source\libsvmsim.c (5979, 2005-09-13)
libsvm_matlab\libsvm\libsvm.txt (119, 2005-09-12)
libsvm_matlab\docs\changes.txt (1354, 2005-09-13)
libsvm_matlab\docs\license.txt (17995, 2005-08-23)
libsvm_matlab\source (0, 2009-07-18)
libsvm_matlab\libsvm (0, 2009-07-18)
libsvm_matlab\docs (0, 2009-07-18)
libsvm_matlab (0, 2009-07-18)

MATLAB Interface for LIBSVM, Version 1.2 ======================================== Copyright (C) 2004-2005 Michael Vogt Written by Michael Vogt, Atanas Ayarov and Bennet Gedan This software package provides a MATLAB interface for LIBSVM, a library for the optimization of support vector machines. DESCRIPTION The interface offers two commands LIBSVMOPT and LIBSVMSIM for the optimization and the simulation of support vector machines. The usage is explained in the MATLAB help files. Because both commands are implemented as C MEX files, they need to be compiled from the sources before. Several demos show the capabilites of LIBSVM. The package is distributed as source code under the GNU General Public License, see "license.txt" for details. Since LIBSVM uses a different type of license, it is not included. To build the interface, you will need LIBSVM 2.8 (or maybe a later version) available at http://www.csie.ntu.edu.tw/~cjlin/libsvm Most features of LIBSVM are accessible. Currently, two things are missing: Multiclass SVMs and support for sparse MATLAB matrices. SYSTEM REQUIREMENTS 1. MATLAB 6.0 or higher. 2. A C++ compiler. On Microsoft Windows systems, Microsoft Visual C/C++ 6.0 and Borland Free Commandline Tools 5.5 have been testet. On Linux it has been compiled with GCC 3.3. INSTALLATION 1. Configure the C++ compiler by typing "mex -setup" in the MATLAB command window and following the instructions. 2. Extract all files of the interface in a directory of your choice, and LIBSVM ("svm.cpp" and "svm.h") in the subdirectory "libsvm". 3. Add the main directory to the MATLAB search path. 4. Call "mexlibsvm" in order to compile the MEX functions.

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