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Found 5 papers, 0 papers with code
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
Numerical studies on both synthetic and real-world data in reliability engineering highlight the advantageous features of our model in real-time adaptation, enhanced signal prediction with uncertainty quantification, and joint prediction for labels and signals.
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Things (IoT) is on the verge of a major paradigm shift.
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes
A fundamental assumption is that the output/group membership labels for all observations are known.
Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data
A Gaussian process prior for the FPC scores is then established based on a functional semi-metric that measures similarities between streams of historical units and the in-service unit.
A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation
The proposed model minimizes mean squared errors while ensuring that the majority of the important regression assumptions are met.
