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Found 4 papers, 1 papers with code
Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing
It is challenging but important to save annotation efforts in streaming data acquisition to maintain data quality for supervised learning base learners.
Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing
In this work, we propose a Bayesian sparse regression for multivariate mixed responses to enhance the prediction of runtime performance metrics and to enable the statistical inferences.
ModelPred: A Framework for Predicting Trained Model from Training Data
In this work, we propose ModelPred, a framework that helps to understand the impact of changes in training data on a trained model.
Adaptively Weighted Top-N Recommendation for Organ Matching
Because of the shortage, organ matching decision is the most critical decision to assign the limited viable organs to the most suitable patients.
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