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Discovering Rules for Rule-Based Machine Learning with the Help of Novelty Search.

, , , , , , and . SN Comput. Sci., 4 (6): 778 (November 2023)

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Comparing different metaheuristics for model selection in a supervised learning classifier system., , , , and . GECCO Companion, page 316-319. ACM, (2022)Towards Models of Conceptual and Procedural Operator Knowledge., , , , and . SemIIM, volume 3355 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations., , and . GECCO Companion, page 127-128. ACM, (2020)Reliability-Based Aggregation of Heterogeneous Knowledge to Assist Operators in Manufacturing., , , and . ICSC, page 131-138. IEEE, (2022)Robot Gardens: An Augmented Reality Prototype for Plant-robot Biohybrid Systems, , and . Proceedings of the 22Nd ACM Conference on Virtual Reality Software and Technology, page 139--142. New York, NY, USA, ACM, (2016)SupRB in the context of rule-based machine learning methods: A comparative study., , , , , and . Appl. Soft Comput., (November 2023)Classifying Metaheuristics: Towards a unified multi-level classification system., , and . Nat. Comput., 21 (2): 155-171 (2022)A Closer Look at Sum-based Embeddings for Knowledge Graphs Containing Procedural Knowledge., , , and . DL4KG@ISWC, volume 3342 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines., , , and . DATA, page 606-612. SCITEPRESS, (2023)PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing., , , and . CoRR, (2023)