Hyperparameter Estimation for Sparse Bayesian Learning Models.
Feng YuLixin ShenGuohui SongPublished in: CoRR (2024)
Keyphrases
- learning models
- machine learning
- loss function
- learning tasks
- learning algorithm
- classification models
- conditional random fields
- machine learning algorithms
- gaussian processes
- semi supervised learning
- model selection
- neural network
- hyperparameters
- machine learning models
- principal component analysis
- unsupervised learning
- class labels
- learning problems
- information retrieval