Data Mining Methods for Optimizing Feature Extraction and Model Selection.
Masha RouzbahmanAlexandra JovicicLu WangLeon ZuchermanZahid Abul-BasherNipon CharoenkitkarnMark H. ChignellPublished in: IAIT (2020)
Keyphrases
- model selection
- data mining methods
- feature extraction
- feature selection
- cross validation
- data mining
- decision trees
- hyperparameters
- bayesian learning
- sample size
- parameter estimation
- data mining techniques
- regression model
- mixture model
- discriminant analysis
- feature vectors
- principal component analysis
- machine learning
- error estimation
- preprocessing
- gaussian process
- dimension reduction
- data mining algorithms
- feature space
- generalization error
- linear discriminant analysis
- unsupervised learning
- image processing
- face recognition
- metadata
- variable selection
- data sets
- selection criterion
- statistical inference
- feature set
- model selection criteria
- information retrieval
- data structure
- bayesian information criterion
- marginal likelihood
- parameter determination