Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space.
Zihuan LiuShrijita BhattacharyaTapabrata MaitiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- ensemble learning
- variational bayes
- feature space
- neural network
- gaussian mixture model
- latent variables
- bayesian inference
- feature selection
- generalization ability
- hyperparameters
- ensemble methods
- latent dirichlet allocation
- pattern recognition
- unlabeled data
- feature vectors
- random forest
- data points
- high dimensional
- artificial neural networks
- model selection
- base classifiers
- genetic algorithm
- support vector machine
- neural network model
- concept drift
- dimensionality reduction
- feature extraction
- bp neural network
- back propagation
- mean shift
- training set
- principal component analysis
- feature set
- training samples
- classification accuracy
- low dimensional
- random sampling
- decision trees
- machine learning
- prior knowledge
- knn
- sample size
- prediction accuracy
- labeled data
- expectation maximization