Work

Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption.

Year: 2019

Type: conference-paper

Abstract: sponsorship: OK is supported by the OP VVV project CZ.02.1.01/0.0/0.0/16 019/0000765 "Research Center for Informatics". JD is partially supported by KU Leuven Research Fund (C14/17/07, C32/17/036), Research Foundation -Flanders (EOS No. 30992574, G0D8819N) and VLAIO-SBO grant HYMOP (150033). (OP VVV project "Research Center for Informatics"|CZ.02.1.01/0.0/0.0/16 019/0000765, KU Leuven Research Fund|C14/17/07, KU Leuven Research Fund|C32/17/036, Research Foundation -Flanders (EOS)|30992574, Research Foundation -Flanders (EOS)|G0D8819N, VLAIO-SBO grant HYMOP|150033)

Source: Lirias

Authors: Ondřej Kuželka, Jesse Davis

Institutions: KU Leuven, University of Copenhagen

Language: English

Topic: Logic, Reasoning, and Knowledge

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Agentschap Innoveren en Ondernemen, KU Leuven, Vlaamse regering, Research Center for Informatics, Czech Technical University in Prague

Award: G5549935312

OpenAlex ID: W2966452802

FWCI: 0.569

Cites: 27

Cited by: 9

Related to: 10