Generalized Model Selection for Unsupervised Learning in High Dimensions.
Shivakumar VaithyanathanByron DomPublished in: NIPS (1999)
Keyphrases
- model selection
- unsupervised learning
- high dimensions
- high dimensional data
- cross validation
- high dimensional
- sample size
- machine learning
- hyperparameters
- parameter estimation
- mixture model
- high dimensional spaces
- regression model
- feature selection
- gaussian process
- model selection criteria
- poor quality
- variable selection
- selection criterion
- parameter determination
- supervised learning
- edge detection
- semi supervised
- bayesian networks
- marginal likelihood
- data sets
- generative model
- graphical models
- dimensionality reduction
- nearest neighbor
- video sequences
- face recognition
- real world
- neural network