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...

Повний опис

Бібліографічні деталі

Формат:	Online
Мова:	Англійська
Опубліковано:	Springer Nature 2025
Предмети:	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
Онлайн доступ:	ONIX_20250414_9783031830976_16
Теги:	Додати тег Немає тегів, Будьте першим, хто поставить тег для цього запису!