Informed machine learning for complex data

doi:10.1016/j.neucom.2025.132505

2025-12-22

DOI：10.1016/j.neucom.2025.132505

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摘要

En 中文

• 机器学习（ML）模型已经深刻地改变了研究、工业和社会。 • 新兴架构提高了复杂数据上的性能，但往往缺乏领域知识。 • 信息驱动的机器学习将先验知识纳入其中，以减少数据需求并增强泛化能力。 • 本文综述了针对复杂数据开发更信息驱动的机器学习方法所面临的挑战。

Keyword:

Artificial intelligence

Machine learning

Informed machine learning

Data structure informed

Technically informed

Environmentally informed

Physically informed

Ethically informed

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期刊

Neurocomputing

IF:

6.5

论文数:

2.5W

被引数:

6.5W

机构

University of Padua

学者数:

5.1W

论文数: 4.3W

被引数: 57

University of Pisa

学者数:

3.1W

论文数: 2.4W

被引数: 2.4W

university of genoa

学者数:

3.0W

论文数: 2.2W

被引数: 20

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