The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data.
Robin VandaeleBo KangTijl De BieYvan SaeysPublished in: CoRR (2021)
Keyphrases
- noisy data
- high dimensional
- noise tolerant
- high dimensionality
- learning process
- learning from noisy data
- reinforcement learning
- similarity search
- dimensionality reduction
- training data
- noise free
- database
- learning problems
- learning algorithm
- active learning
- feature space
- high dimensional data
- distance function
- missing data
- dimension reduction
- decision trees
- pattern languages
- statistical queries
- feature selection