Probabilistic soft logic: Difference between revisions

Revision as of 21:51, 28 July 2020

Revision as of 00:29, 22 September 2020

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'''Probabilistic Soft Logic (PSL)''' is a [[Statistical relational learning | SRLstatistical relational learning]] framework for modeling probabilistic and relational domains.

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It is applicable to a variety of [[machine learning]] problems, such as [[collective classification]], [[Record linkage | entity resolution]], [[link prediction]], and [[ontology alignment]].