Implementation of Plackett-Luce Networks
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
data
utilities
README.md
demo.m
plnet.m

README.md

PLNet - Plackett Luce Networks

PLNet is a neural network based approach for preference learning.

The implementation is self contained and based on Matlab. Demo scripts and sample data are provided. Further information about the method can be obtained in the paper (see below).

Reference

D. Schäfer and E. Hüllermeier, ‘Plackett-Luce networks for dyad ranking’, in Workshop LWDA, “Lernen, Wissen, Daten, Analysen”, Potsdam, Germany, (2016).

License

The MIT License

Copyright (c) 2016 Dirk Schäfer, http://www.jivas.de

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.