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pro vyhledávání: '"Mekkaoui, Sara El"'
Tsetlin Machines (TMs) have emerged as a compelling alternative to conventional deep learning methods, offering notable advantages such as smaller memory footprint, faster inference, fault-tolerant properties, and interpretability. Although various a
Externí odkaz:
http://arxiv.org/abs/2410.17851
Motivated by the interpretability question in ML models as a crucial element for the successful deployment of AI systems, this paper focuses on rule extraction as a means for neural networks interpretability. Through a systematic literature review, d
Externí odkaz:
http://arxiv.org/abs/2312.12878
Publikováno v:
In IFAC PapersOnLine 2022 55(10):3172-3177
