Project details for Ordinal Choquistic Regression

Screenshot Ordinal Choquistic Regression 1.00

by AliFall - January 30, 2014, 15:42:34 CET [ BibTeX BibTeX for corresponding Paper Download ]

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Description:

This MATLAB package implements a method for learning an "Ordinal Choquistic Regression" model (represented by a corresponding Moebius transform of the underlying fuzzy measure), using the maximum likelihood approach proposed in [1]. For reasons of efficiency, it restricts to the 2-additive Choquet integral and implements the method, in which the Moebius transform is represented as a convex combination of a set of basis functions.

[1] A. Fallah Tehrani, E. Hüllermeier. Ordinal Choquistic Regression. Proceedings of the 8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT-13, Milano, Italy, September 11-13, 2013. Atlantis Press 2013 ISBN 978-90786-77-78-9

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Platform Independent
Data Formats: Csv
Tags: Machine Learning
Archive: download here

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