Classifying Candidate Axioms via Dimensionality Reduction Techniques.
Dario MalchiodiCélia da Costa PereiraAndrea G. B. TettamanziPublished in: MDAI (2020)
Keyphrases
- dimensionality reduction
- high dimensional data
- pattern recognition
- feature space
- high dimensional
- knowledge base
- high dimensionality
- feature selection
- principal component analysis
- pattern recognition and machine learning
- low dimensional
- feature extraction
- principal components
- input space
- random projections
- linear discriminant analysis
- manifold learning
- linear projection
- lower dimensional
- kernel pca
- singular value decomposition
- data representation
- candidate generation
- automatic classification
- linear dimensionality reduction
- candidate set
- graph embedding
- text categorization
- preprocessing step
- real time