Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning.
L. A. BullMaharshi Harshadbhai DhadaOlof SteinertTony LindgrenAjith Kumar ParlikadAndrew B. DuncanMark GirolamiPublished in: CoRR (2022)
Keyphrases
- knowledge transfer
- multi task learning
- transfer learning
- learning tasks
- multi task
- multiple tasks
- multitask learning
- gaussian processes
- learning problems
- machine learning
- active learning
- labeled data
- learning algorithm
- reinforcement learning
- text categorization
- data sets
- bayesian inference
- collaborative filtering
- text classification
- variational inference
- information extraction
- higher order
- feature space
- text mining
- dimensionality reduction
- multi label
- learning experience
- machine learning algorithms
- unlabeled data
- mixture model
- image classification