Titlebook: Impact of Scientific Computing on Science and Society; Pekka Neittaanmäki,Marja-Leena Rantalainen Book 2023 The Editor(s) (if applicable)

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Randomized Constructive Neural Network Based on Regularized Minimum Error Entropytive function. However, since many real-world phenomena do not follow a normal distribution, MSE-based methods act poorly in such cases. This paper presents a new single-layer random constructive neural network based on the regularized Minimum Error Entropy (MEE) objective function. The proposed met

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On the Role of Taylor’s Formula in Machine Learningata-driven variants have a central role in machine learning training algorithms, is well-known. However, utilization of Taylor’s formula in the derivation of new machine learning methods is not common and the purpose of this article is to introduce such use cases. Both a feedforward neural network a

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­ tion‘s long history (Zellweger, 1977, 1981, Zellweger & Patil, 1987). J. E. D. Esquirol (1838) and E. Seguin (1846) were probably the first physicians to witness the condition without using currently accepted diagnostic designa­ tions. Seguin coined the terms furfuraceus or lowland cretinism in co

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