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License: GNU General Public License v3.0
EasyMKL
License: GNU General Public License v3.0
### You can install EasyMKL as part of the framework: https://github.com/IvanoLauriola/MKLpy ### No more updates provided here. ~ These files are distributed under the "GNU GENERAL PUBLIC LICENSE" (contained in file LICENSE). ~ Authors: Michele Donini and Fabio Aiolli ~ Citation Request: Use of this code in publications should be acknowledged by referencing the following publication: "EasyMKL: a scalable multiple kernel learning algorithm by Fabio Aiolli and Michele Donini, Neurocomputing, 2015" @article{aiolli2015easymkl, title={EasyMKL: a scalable multiple kernel learning algorithm}, author={Aiolli, Fabio and Donini, Michele}, journal={Neurocomputing}, year={2015}, publisher={Elsevier} } ~ Site: https://sites.google.com/view/mdonini = = = Python Folder = = = ~ Required Python packages numpy scikit-learn cvxopt ---------------------------------------------------------------------------------------------------- File Content EasyMKL.py EasyMKL implementation komd.py Scikit-like implementation of the kernel machine KOMD toytest_EasyMKL.py An example of EasyMKL toytest_komd.py An example of KOMD komd_gui.py Graphical toytest interface for KOMD = = = R Folder = = = ~ Required R package kernlab ---------------------------------------------------------------------------------------------------- File Content komd.R R implementation of the kernel machine KOMD with a toy example
Hey Jmikko,
Thank you for the implementation. Do you have any tips/examples on how to use these algorithms for ranking?
Thanks,
Max
Hi all,
I'm interested in using your software. Can you tell me where to find more use examples? e.g. I'm specially interested in linear regression estimation.
Thank you very much.
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