一篇新发表在arXiv上的论文将神经网络介绍给统计学家，将其构建为线性回归的扩展。作者旨在通过解释基于这一基础概念的常见定制来降低统计学家的入门门槛。这种方法试图为具有经典、频率主义背景的人揭开神经网络的神秘面纱。 AI
排序理由 该集群包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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将神经网络解释为面向统计学家的线性回归
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Neural Networks as Linear Regression: An Introduction for Statisticians
Neural networks are a commonly used prediction tool in computer science and statistics. However, the barrier to entry of this interesting field remains high, particularly for classical statisticians trained in a frequentist perspective. In this letter, we demystify neural network…