Probabilistic soft logic
id:
probabilistic-soft-logic-286-7319071
title:
Probabilistic soft logic
text:
Probabilistic Soft Logic (PSL) is a statistical relational learning (SRL) framework for modeling probabilistic and relational domains. It is applicable to a variety of machine learning problems, such as collective classification, entity resolution, link prediction, and ontology alignment.
PSL combines two tools: first-order logic, with its ability to succinctly represent complex phenomena, and probabilistic graphical models, which capture the uncertainty and incompleteness inherent in real-world
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Probabilistic_soft_logic
date created:
date modified:
2021-07-31T15:24:15Z
main entity:
{"identifier":"Q18344761","url":"https://www.wikidata.org/entity/Q18344761"}
image:
{"content_url":"https://upload.wikimedia.org/wikipedia/commons/8/86/PSL_Logo.png","width":542,"height":190}
fields total:
13
integrity:
14