High-dimensional Penalty Selection via Minimum Description Length Principle.
Kohei MiyaguchiKenji YamanishiPublished in: CoRR (2018)
Keyphrases
- minimum description length principle
- high dimensional
- low dimensional
- data points
- neural network
- similarity search
- feature space
- learning algorithm
- objective function
- database
- variable selection
- metric space
- multi dimensional
- dimensionality reduction
- evolutionary algorithm
- search algorithm
- nearest neighbor
- feature selection
- genetic algorithm
- sparse representation
- fitness function
- high dimensionality
- image sequences
- selection strategy
- penalty function
- high dimension
- high dimensional problems