A Critical Analysis of the Theoretical Framework of the Extreme Learning Machine

التفاصيل البيبلوغرافية
العنوان: A Critical Analysis of the Theoretical Framework of the Extreme Learning Machine
المؤلفون: Perfilievaa, Irina, Madrid, Nicolas, Ojeda-Aciego, Manuel, Artiemjew, Piotr, Niemczynowicz, Agnieszka
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing
الوصف: Despite the number of successful applications of the Extreme Learning Machine (ELM), we show that its underlying foundational principles do not have a rigorous mathematical justification. Specifically, we refute the proofs of two main statements, and we also create a dataset that provides a counterexample to the ELM learning algorithm and explain its design, which leads to many such counterexamples. Finally, we provide alternative statements of the foundations, which justify the efficiency of ELM in some theoretical cases.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2406.17427
رقم الأكسشن: edsarx.2406.17427
قاعدة البيانات: arXiv