Informed Machine Learning

This open access book presents the concept of Informed Machine Learning and demonstrates its practical use with a compelling collection of applications of this paradigm in industrial and business use cases. These range from health care over manufacturing and material science to more advanced combina...

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Bibliografiske detaljer

Format:	Online
Sprog:	engelsk
Udgivet:	Springer Nature 2025
Fag:	Informed Machine Learning Anomaly Detection Interpretable Model Deep Learning Knowledge Graphs Graph Neural Networks AITwin Bayesian Inference Multi-Agent Neural Rewriter Support Vector Machines Multivariate Time Series Differential Equations thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
Online adgang:	ONIX_20250414_9783031830976_16
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