Recurrent Neural Network Based Feature Selection for High Dimensional and Low Sample Size Micro-array Data.
Shanta ChowdhuryXishuang DongXiangfang LiPublished in: IEEE BigData (2019)
Keyphrases
- sample size
- small sample
- small sample size
- high dimension
- high dimensional
- feature selection
- model selection
- small samples
- high dimensionality
- random sampling
- neural network
- dimensionality reduction
- covariance matrix
- upper bound
- number of training samples
- worst case
- feature space
- variable selection
- data points
- cross validation
- microarray data
- confidence intervals
- progressive sampling
- random sample
- dimension reduction
- vc dimension
- gene expression data
- statistical power
- statistical hypothesis testing
- nearest neighbor
- sample complexity
- pac learning
- evolutionary algorithm
- association rules
- learning problems
- classification accuracy
- support vector