Subspace Metric-Based Transfer Learning for Spindle Thermal Error Prediction Under Time-Varying Conditions.
Haoyang MaoZhenyu LiuChan QiuHui LiuJiacheng SunJianrong TanPublished in: IEEE Trans. Instrum. Meas. (2024)
Keyphrases
- transfer learning
- learning tasks
- knowledge transfer
- labeled data
- cross domain
- machine learning
- active learning
- transfer knowledge
- reinforcement learning
- manifold alignment
- metric learning
- text classification
- multi task
- semi supervised learning
- domain adaptation
- target domain
- text categorization
- error rate
- feature space
- multi task learning
- dimensionality reduction
- unlabeled data
- prediction model
- machine learning algorithms
- text mining
- collaborative filtering
- training data
- distance metric
- data sets
- information extraction
- pairwise
- information retrieval
- neural network