Statistical relational learning: Difference between revisions

Revision as of 13:21, 12 August 2020

Revision as of 08:52, 15 January 2021

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As is evident from the characterization above, the field is not strictly limited to learning aspects; it is equally concerned with [[Semantic_reasonerSemantic reasoner|reasoning]] (specifically [[statistical inference|probabilistic inference]]) and [[knowledge representation]]. Therefore, alternative terms that reflect the main foci of the field include ''statistical relational learning and reasoning'' (emphasizing the importance of reasoning) and ''first-order probabilistic languages'' (emphasizing the key properties of the languages with which models are represented).

== Canonical tasks ==

A number of canonical tasks are associated with statistical relational learning, the most common ones being .<ref name=richardson:ml06 />.

* [[collective classification]], i.e. the (simultaneous) [[classification (machine learning)|prediction of the class]] of several objects given objects' attributes and their relations

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[[Category:Computational statistics]]