| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| CIL2P_v1.3.zip | 2014-05-30 | 617.8 kB | |
| CIL2P_v1.3.tar.gz | 2014-05-30 | 575.2 kB | |
| CIL2P_v1.2.zip | 2013-01-14 | 1.1 MB | |
| CIL2P_v1.2.tar.gz | 2013-01-14 | 1.0 MB | |
| CIL2P_v1.1.zip | 2012-10-22 | 920.4 kB | |
| CIL2P_v1.1.tar.gz | 2012-10-22 | 888.3 kB | |
| CIL2P_v1.0.tar.gz | 2012-05-30 | 821.2 kB | |
| CIL2P_v1.0.zip | 2012-05-30 | 849.1 kB | |
| Totals: 8 Items | 6.7 MB | 0 | |
============================ = RELEASE NOTES FOR C-IL2P = ============================ 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 ------------------------------------------------------------------ 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 ------------------------------------------------------------------ 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 ------------------------------------------------------------------ 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.