A stochastic variance-reduced coordinate descent algorithm for learning sparse Bayesian network from discrete high-dimensional data.
Nazanin ShajoonnezhadAmin NikanjamPublished in: Int. J. Mach. Learn. Cybern. (2023)
Keyphrases
- learning algorithm
- high dimensional data
- high dimensional
- bayesian networks
- data sets
- nearest neighbor
- subspace clustering
- computer vision
- machine learning
- similarity measure
- locally linear embedding
- dimensionality reduction
- low dimensional
- input data
- sparse representation
- high dimensionality
- linear discriminant analysis
- markov blanket
- particle swarm optimization
- multi dimensional
- training data
- feature extraction
- data mining