
large -m) on a linux machine, why sometimes I get "segmentation fault ?"


The output of training C-SVM is like the following.How to convert other data formats to LIBSVM format?.Is there a program to check if my data are in the correct format?.Why sometimes the last line of my data is not read by svm-train?.Why do you consider sparse format ? Will the training of dense data be much slower ?.Why sometimes not all attributes of a data appear in the training/model files ?.In LIBSVM, why you don't use certain C/C++ library functions to make the code shorter?.Is this a problem and how to disable the warning message? On some systems (e.g., Ubuntu), compiling LIBSVM gives many warning messages.How to build a dynamic library (.dll file) on MS windows?.Why occasionally the program (including MATLAB or other interfaces) crashes and gives a segmentation fault?.What is the difference between "." and "*" outputed during training?.I am an MS windows user but why only one (svm-toy) of those precompiled.

I have modified the source and would like to build the graphic interface "svm-toy" on MS windows.On unix machines, I got "error in loading shared libraries" or "cannot open shared object file." What happened ?.Is there a repository of additional tools based on libsvm?.

