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Researcher
Jonas Schouterden
- Disciplines:Artificial intelligence
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From1 Aug 2020 → 31 Jul 2022 - Informatics Section (Division)
Member
From1 Oct 2017 → 4 Aug 2020
Projects
1 - 1 of 1
- Efficient and Versatile Methods for Relational Machine LearningFrom20 Sep 2017 → 14 Jun 2022Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 4 of 4
- Efficient and Versatile Methods for Relational Machine Learning(2022)
Authors: Jonas Schouterden, Hendrik Blockeel, Jesse Davis
- Multi-Directional Rule Set Learning(2020)
Authors: Jonas Schouterden, Jesse Davis, Hendrik Blockeel
Pages: 517 - 532Number of pages: 16 - LazyBum: Decision tree learning using lazy propositionalization(2020)
Authors: Jonas Schouterden, Jesse Davis, Hendrik Blockeel
Pages: 98 - 113Number of pages: 16 - Comparing the run-time efficiency of coverage tests in relational learning(2018)
Authors: Jonas Schouterden, Jesse Davis, Hendrik Blockeel
Number of pages: 12