Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models
The aim of statistical relational learning is to learn statistical models from relational or graph-structured data. Three main statistical relational learning paradigms include weighted rule learning, random walks on graphs, and tensor factorization. These paradigms have been mostly developed and st...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2018-02-01
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| Series: | Frontiers in Robotics and AI |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/article/10.3389/frobt.2018.00008/full |