Subspace learning using structure learning and non-convex regularization: Hybrid technique with mushroom reproduction optimization in gene selection.
Amir MoslemiMahdi BidarArash AhmadianPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- structure learning
- subspace learning
- gene selection
- graphical models
- bayesian networks
- microarray data
- microarray
- dimensionality reduction
- microarray classification
- gene expression data
- sparse representation
- parameter estimation
- data representation
- principal component analysis
- manifold learning
- low dimensional
- support vector machine svm
- feature selection
- face recognition
- semi supervised
- transfer learning
- learning algorithm
- gene expression
- high dimensional data
- sparse coding
- sample size
- data sets
- support vector
- conditional independence
- higher order
- probabilistic model
- least squares
- unsupervised learning
- machine learning