A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?
Martin Q. MaYue ZhaoXiaorong ZhangLeman AkogluPublished in: CoRR (2021)
Keyphrases
- model selection
- cross validation
- bayesian learning
- hyperparameters
- variable selection
- sample size
- unsupervised learning
- regression model
- parameter estimation
- model selection criteria
- mixture model
- statistical learning
- semi supervised
- motion segmentation
- meta learning
- error estimation
- markov random field
- outlier detection
- objective function
- feature selection
- gaussian process
- data mining
- selection criterion
- statistical inference
- data sets