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Informed machine learning for complex data
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DOI：10.1016/j.neucom.2025.132505.png)
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Abstract
En 中文
• Machine learning (ML) models have profoundly transformed research, industry, and society. • Emerging architectures improve performance on complex data but often lack domain knowledge. • Informed ML incorporates prior knowledge to reduce data requirements and enhance generalization. • This review examines the challenge of developing more informed approaches to ML for complex data.
Keywords:
Artificial intelligence
Machine learning
Informed machine learning
Data structure informed
Technically informed
Environmentally informed
Physically informed
Ethically informed
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