CP-Nets Structure Learning Based on mRMCR Principle

CP-Nets Structure Learning Based on mRMCR Principle

As a graphical model, Conditional Preference Networks (CP-nets) are used to describe the qualitative conditional preferences of attributes, and the structure learning plays an important role in the research of CP-nets. Different from traditional CP-nets structure learning methods, a Maximum Relevanc...

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Bibliographic Details
Main Authors: Su Liu, Jinglei Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
CP-nets structure learning
maximal relevance minimal common redundancy
feature selection
preference database
pairwise comparisons
Online Access:https://ieeexplore.ieee.org/document/8817961/

Internet

https://ieeexplore.ieee.org/document/8817961/

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