A Structural Approach to Dealing with High Dimensionality Parameter Search Spaces.
Benjamin HawkerRoger K. MoorePublished in: TAROS (2020)
Keyphrases
- neural network
- high dimensionality
- search space
- high dimensional
- feature space
- high dimensional data
- feature selection
- dimensionality reduction
- microarray
- data dimensionality
- small sample size
- dimension reduction
- class imbalance
- gene expression data
- small number of samples
- small sample
- low dimensional
- low dimensionality
- decision trees
- parameter space
- data sets
- feature ranking
- machine learning
- high dimensional datasets
- nearest neighbor
- feature vectors
- image processing