Subjectivity in Unsupervised Machine Learning Model Selection.
Wanyi ChenMary L. CummingsPublished in: CoRR (2023)
Keyphrases
- model selection
- machine learning
- unsupervised learning
- cross validation
- statistical learning
- supervised learning
- hyperparameters
- parameter estimation
- regression model
- covariate shift
- bayesian learning
- mixture model
- statistical inference
- feature selection
- sample size
- meta learning
- error estimation
- support vector machine
- machine learning methods
- selection criterion
- generalization error
- active learning
- variable selection
- motion segmentation
- leave one out cross validation
- information criterion
- text classification
- parameter determination
- marginal likelihood
- bayesian information criterion
- learning machines
- bayesian methods
- learning tasks
- machine learning algorithms
- text mining
- learning algorithm
- gaussian process
- maximum likelihood
- semi supervised
- upper bound
- decision trees