Statistical Learning via Manifold Learning.
Alexander V. BernsteinAlexander P. KuleshovYury YanovichPublished in: ICMLA (2015)
Keyphrases
- statistical learning
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- semi supervised
- diffusion maps
- high dimensional
- dimension reduction
- high dimensional data
- feature extraction
- locally linear embedding
- feature space
- data sets
- neural network
- information theory
- model selection
- semi supervised learning
- multiscale
- pattern recognition
- machine learning
- supervised learning
- nearest neighbor
- low dimensional manifolds
- knn