Interactive Causality-Enabled Adaptive Machine Learning in Cyber-Physical Systems: Technology and Applications in Manufacturing and Beyond
This chapter describes an adaptive machine learning (ML) method for the utilization of
unlabeled data for continual model adaptation after deployment. Current methods for the …
unlabeled data for continual model adaptation after deployment. Current methods for the …
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine Learning
Adaptive machine learning (ML) aims to allow ML models to adapt to ever-changing
environments with potential concept drift after model deployment. Traditionally, adaptive ML …
environments with potential concept drift after model deployment. Traditionally, adaptive ML …
A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
Machine Learning (ML) has been demonstrated to improve productivity in many
manufacturing applications. To host these ML applications, several software and Industrial …
manufacturing applications. To host these ML applications, several software and Industrial …