Error-controlled feature selection for ultrahigh-dimensional and highly correlated feature space using deep learning.
Arkaprabha GanguliTapabrata MaitiDavid TodemPublished in: Stat. Anal. Data Min. (2024)
Keyphrases
- highly correlated
- deep learning
- high dimensionality
- feature space
- feature selection
- unsupervised learning
- machine learning
- dimensionality reduction
- high dimensional
- principal component analysis
- feature set
- classification accuracy
- statistically significant
- high dimensional data
- mental models
- average precision
- text categorization
- weakly supervised
- feature subset
- support vector
- feature extraction
- model selection
- microarray
- input data
- low dimensional
- data points
- image retrieval
- data mining
- mean shift
- image representation
- data analysis
- text classification
- natural language processing