Towards a Partitioning of the Input Space of Boolean Networks: Variable Selection Using Bagging.
Frank Emmert-StreibMatthias DehmerPublished in: Complex (1) (2009)
Keyphrases
- input space
- variable selection
- boolean networks
- high dimensional
- high dimensional data
- training set
- cross validation
- dimensionality reduction
- gene regulatory networks
- low dimensional
- biological systems
- feature space
- ensemble methods
- dimension reduction
- kernel function
- decision trees
- gene expression data
- machine learning
- data points
- input data
- model selection
- generalization error
- high dimensionality
- k nearest neighbor
- regression problems
- neural network
- data sets
- nearest neighbor
- feature extraction
- class labels
- principal component analysis
- active learning
- training data
- feature selection
- data mining