Informed Machine Learning
portes grátis
Informed Machine Learning
Bauckhage, Christian; Schulz, Daniel
Springer International Publishing AG
04/2025
377
Dura
9783031830969
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Preface.- 1. Introduction and Overview.- Part I. Digital Twins.- 2 Optimizing Cooling System Operations with Informed ML and a Digital Twin.- 3. AITwin - A Uniform Digital Twin Interface for Artificial Intelligence Applications.- Part II. Optimization.- 4. A Regression-based Predictive Model Hierarchy for Nonwoven Tensile Strength Inference.- 5. Machine Learning for Optimizing the Homogeneity of Spunbond Nonwovens.- 6. Bayesian Inference for Fatigue Strength Estimation.- 7. Incorporating Shape Knowledge into Regression Models.- Part III Neural Networks.- 8. Predicting Properties of Oxide Glasses Using Informed Neural Networks.- 9. Graph Neural Networks for Predicting Side Effects and New Indications of Drugs Using Electronic Health Records.- 10. On the Interplay of Subset Selection and Informed Graph Neural Networks.- 11. Informed Machine Learning Aspects for the Multi-Agent Neural Rewriter.- Part IV. Hybrid Methods.- 12. Training Support Vector Machines by Solving Differential Equations.- 13. Informed Machine Learning to Maximize Robustness and Computational Performance of Linear Solvers.- 14. Anomaly Detection in Multivariate Time Series Using Uncertainty Estimation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Informed Machine Learning;Anomaly Detection;Interpretable Model;Deep Learning;Knowledge Graphs;Open Access;Graph Neural Networks;AITwin;Bayesian Inference;Multi-Agent Neural Rewriter;Support Vector Machines;Multivariate Time Series;Differential Equations
Preface.- 1. Introduction and Overview.- Part I. Digital Twins.- 2 Optimizing Cooling System Operations with Informed ML and a Digital Twin.- 3. AITwin - A Uniform Digital Twin Interface for Artificial Intelligence Applications.- Part II. Optimization.- 4. A Regression-based Predictive Model Hierarchy for Nonwoven Tensile Strength Inference.- 5. Machine Learning for Optimizing the Homogeneity of Spunbond Nonwovens.- 6. Bayesian Inference for Fatigue Strength Estimation.- 7. Incorporating Shape Knowledge into Regression Models.- Part III Neural Networks.- 8. Predicting Properties of Oxide Glasses Using Informed Neural Networks.- 9. Graph Neural Networks for Predicting Side Effects and New Indications of Drugs Using Electronic Health Records.- 10. On the Interplay of Subset Selection and Informed Graph Neural Networks.- 11. Informed Machine Learning Aspects for the Multi-Agent Neural Rewriter.- Part IV. Hybrid Methods.- 12. Training Support Vector Machines by Solving Differential Equations.- 13. Informed Machine Learning to Maximize Robustness and Computational Performance of Linear Solvers.- 14. Anomaly Detection in Multivariate Time Series Using Uncertainty Estimation.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
