Learning and Concentration for High Dimensional Linear Gaussians: an Invariant Subspace Approach.
Muhammad Abdullah NaeemPublished in: CoRR (2023)
Keyphrases
- high dimensional
- learning algorithm
- online learning
- learning systems
- learning process
- unsupervised learning
- prior knowledge
- learning problems
- reinforcement learning
- active learning
- supervised learning
- similarity search
- low dimensional
- mobile learning
- subspace clustering
- variable selection
- gaussian mixture
- high dimensional data
- neural network
- knowledge acquisition
- dimensionality reduction
- support vector machine
- pairwise
- feature space
- feature extraction
- decision trees
- machine learning