Effect of Dimensionality Reduction on Uncertainty Quantification in Trustworthy Machine Learning.
Yen-Chen LiJustin ZhanPublished in: ICMLC (2023)
Keyphrases
- dimensionality reduction
- machine learning
- feature selection
- pattern recognition
- high dimensionality
- handling uncertainty
- structure preserving
- principal components
- low dimensional
- high dimensional data
- machine learning methods
- computer science
- principal component analysis
- feature space
- information extraction
- inductive logic programming
- learning problems
- uncertain data
- data representation
- data mining
- high dimensional
- active learning
- artificial intelligence
- text mining
- inherent uncertainty
- dimensionality reduction methods
- random projections
- inductive learning
- learning algorithm
- kernel methods
- support vector machine
- machine learning algorithms
- computational intelligence
- computer vision
- linear discriminant analysis
- transfer learning
- learning systems
- semi supervised learning
- natural language processing
- linear dimensionality reduction
- supervised learning
- pattern recognition and machine learning