On Approximate Reasoning Capabilities of Low-Rank Vector Spaces.
Guillaume BouchardSameer SinghThéo TrouillonPublished in: AAAI Spring Symposia (2015)
Keyphrases
- low rank
- approximate reasoning
- vector space
- fuzzy logic
- convex optimization
- matrix factorization
- missing data
- singular value decomposition
- linear combination
- fuzzy sets
- high dimensional data
- rough set theory
- fuzzy reasoning
- semi supervised
- similarity search
- euclidean space
- low dimensional
- production rules
- kernel matrix
- high order
- distance measure
- feature vectors
- riemannian manifolds
- neural network
- high dimensional
- collaborative filtering
- singular values
- feature selection
- decision trees
- face recognition
- expert systems
- graph matching