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Demo
Type "demo" in the
ManifoldLearn
directory. It should bring up GUI pictured below. Here, you
can interactively set the regularization parameters gamma_A and
gamma_I and observe the decision surfaces for the following algorithms:
Regularized Least Squares, Laplacian Regularized Least Squares, Support
Vector Machines and Laplacian Support Vector Machines, for a simple 2D
classification problem. The interface should be
self-explanatory.
This demo was made using guide v 2.5 and was tested with matlab 6.5 R13 running under linux. Also tested under windows running cygwin (Put cygwin1.dll in your windows path or invoke matlab from cygwin; mex files were compiled under cygwin using gnumex ).
Author: Vikas Sindhwani (vikass@cs.uchicago.edu)
This demo was made using guide v 2.5 and was tested with matlab 6.5 R13 running under linux. Also tested under windows running cygwin (Put cygwin1.dll in your windows path or invoke matlab from cygwin; mex files were compiled under cygwin using gnumex ).
Author: Vikas Sindhwani (vikass@cs.uchicago.edu)
