Numerical Markov Logic Network: A Scalable Probabilistic Framework for Hybrid Knowledge Inference

Numerical Markov Logic Network: A Scalable Probabilistic Framework for Hybrid Knowledge Inference

In recent years, the Markov Logic Network (MLN) has emerged as a powerful tool for knowledge-based inference due to its ability to combine first-order logic inference and probabilistic reasoning. Unfortunately, current MLN solutions cannot efficiently support knowledge inference involving arithmetic...

Full description

Bibliographic Details
Main Authors: Ping Zhong, Zhanhuai Li, Qun Chen, Boyi Hou, Murtadha Ahmed
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Information
Subjects:
Markov Logic Network
MAX-SAT inference
loss function decomposition
convex optimization
numeric knowledge rule
Online Access:https://www.mdpi.com/2078-2489/12/3/124

Internet

https://www.mdpi.com/2078-2489/12/3/124

Similar Items