EvoLearner: Learning Description Logics with Evolutionary Algorithms-Reference-Cited by-同舟云学术

EvoLearner: Learning Description Logics with Evolutionary Algorithms

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Heindorf Stefan¹,Blübaum Lukas¹,Düsterhus Nick¹,Werner Till¹,Golani Varun Nandkumar¹,Demir Caglar¹,Ngonga Ngomo Axel-Cyrille¹

Affiliation:

1. Paderborn University, Germany

Funder

German Federal Ministry of Education and Research (BMBF)

German Federal Ministry for Economic Affairs and Energy (BMWi)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3511925

Reference53 articles.

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2. Evolutionary Computation 1

3. A Refinement Operator for Description Logics

4. Andrew Cropper and Sebastijan Dumancic. 2020. Inductive logic programming at 30: a new introduction. CoRR abs/2008.07912(2020). Andrew Cropper and Sebastijan Dumancic. 2020. Inductive logic programming at 30: a new introduction. CoRR abs/2008.07912(2020).

5. Caglar Demir Diego Moussallem Stefan Heindorf and Axel-Cyrille Ngonga Ngomo. 2021. Convolutional Hypercomplex Embeddings for Link Prediction. In ACML. PMLR 656–671. Caglar Demir Diego Moussallem Stefan Heindorf and Axel-Cyrille Ngonga Ngomo. 2021. Convolutional Hypercomplex Embeddings for Link Prediction. In ACML. PMLR 656–671.

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