Simultaneous Feature and Model Selection for High-Dimensional Data.
Alessandro PeroliniSébastien GuérifPublished in: ICTAI (2011)
Keyphrases
- model selection
- high dimensional data
- selection criterion
- cross validation
- high dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensionality
- data sets
- variable selection
- data points
- data analysis
- sample size
- similarity search
- statistical learning
- input space
- subspace clustering
- mixture model
- feature selection
- machine learning
- regression model
- clustering high dimensional data
- high dimensional spaces
- hyperparameters
- dimension reduction
- sparse representation
- low rank
- linear discriminant analysis
- missing values
- feature set
- model selection criteria
- input data
- gaussian process
- feature vectors
- marginal likelihood
- automatic model selection
- unsupervised learning
- principal component analysis
- kernel matrix
- manifold learning
- decision trees