Bayesian evolutionary hypernetworks for interpretable learning from high-dimensional data.
Soo-Jin KimJung-Woo HaHeebal KimByoung-Tak ZhangPublished in: Appl. Soft Comput. (2019)
Keyphrases
- high dimensional data
- dimensionality reduction
- learning algorithm
- high dimensional
- high dimensionality
- nearest neighbor
- subspace clustering
- data analysis
- low dimensional
- data sets
- manifold learning
- dimension reduction
- supervised learning
- data distribution
- active learning
- feature vectors
- data structure
- database
- high dimensional datasets
- high dimensions