Interpretable Linear Dimensionality Reduction based on Bias-Variance Analysis.
Paolo BonettiAlberto Maria MetelliMarcello RestelliPublished in: CoRR (2023)
Keyphrases
- linear dimensionality reduction
- bias variance analysis
- dimensionality reduction
- machine learning
- ensemble methods
- pattern classification
- component analysis
- bias variance
- principal component analysis
- learning algorithm
- discriminant analysis
- low dimensional
- face recognition
- support vector
- feature extraction
- pattern recognition
- computer vision
- data analysis
- high dimensional
- trade off
- benchmark datasets
- feature selection
- evolutionary algorithm
- factor analysis
- learning tasks
- data sets
- neural network