A Bootstrapping Soft Shrinkage Approach and Interval Random Variables Selection Hybrid Model for Variable Selection in Near-Infrared Spectroscopy.
Hasan Ali Gamal Al-KafNayef Abdulwahab Mohammed AlduaisAbdul-Malik H. Y. SaadKim Seng ChiaAbdulqader M. MohsenHitham AlhussianAmmar Abdo Mohammed Haidar MahdiWan Saiful-Islam Wan SalamPublished in: IEEE Access (2020)
Keyphrases
- random variables
- variable selection
- hybrid model
- selection criterion
- probability distribution
- graphical models
- input variables
- artificial neural networks
- cross validation
- high dimensional
- conditional independence
- dimension reduction
- stochastic optimization problems
- hybrid models
- model selection
- latent variables
- joint distribution
- support vector regression
- bayesian networks
- support vector machine svm
- linear models
- high dimensional data
- denoising
- pattern recognition
- ls svm
- feature selection
- marginal distributions
- machine learning
- data sets