C-IL2P Files

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= RELEASE NOTES FOR C-IL2P =
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v1.3:

- Several new functionalities have been added:
	
	* A novel normalization that maintains C-IL2P building algorithm 
	correctness has been made
	* It is possible now to print network weight info after normalization 
	and after training
	* Now it is possible to run deduction datasets (no training data) and 
	pure learning problems (no background knowledge data)
	* ... and many others! See the 'readme' file inside for more information!
	
- More bugs and efficiency bottlenecks has been found and fixed

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v1.2:

- Several new functionalities have been added:
	
	* Pre-splitted data can now be used
	* An optional stopping criteria has been added
	* Input filtering with mRMR can be used to reduce input dimension
	* Unknown features from training examples can now be completed
	with the initial network, after the building step
	* ... and many others! See the 'readme' file inside for more information!
	
- More bugs and efficiency bottlenecks has been found and fixed

- The on-screen information is now more complete and intuitive

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v1.1:

- Multi-class training/testing is now possible, by adding multiple
heads into an example

- Several bugfixes and linux/windows compatibility issues have been
solved

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v1.0:

Windows and Linux executables are ready to be downloaded and used,
inside their respective folds.

If using Mac OS, please do a checkout from SVN and use the 'makefile'
file in the root project folder to generate a suitable executable.
For that, a C++ environment is needed to be installed on your machine.