Intrinsic dimensionality and generalization properties of the R-norm inductive bias.
Clayton SanfordNavid ArdeshirDaniel HsuPublished in: CoRR (2022)
Keyphrases
- intrinsic dimensionality
- inductive bias
- inductive learning
- machine learning
- pac learning
- noisy data
- vector space
- dimensionality reduction
- prior knowledge
- hypothesis space
- domain knowledge
- supervised learning
- training examples
- domain theory
- training set
- multitask learning
- training data
- probability density
- singular values
- uniform distribution
- knowledge acquisition
- sample selection
- objective function
- data sets
- bayesian framework
- pairwise