Lagrangian methods for approximating the viability kernel in high-dimensional systems.
John N. MaidensShahab KaynamaIan M. MitchellMeeko M. K. OishiGuy Albert DumontPublished in: Autom. (2013)
Keyphrases
- high dimensional
- kernel density estimation
- preprocessing
- benchmark datasets
- computational cost
- high dimensional data
- nearest neighbor
- gene expression data
- machine learning methods
- cross validation
- empirical studies
- intelligent systems
- distributed systems
- data sets
- significant improvement
- support vector
- image segmentation
- learning algorithm
- data mining