Ensemble-based Hybrid Optimization of Bayesian Neural Networks and Traditional Machine Learning Algorithms.
Peiwen TanPublished in: CoRR (2023)
Keyphrases
- machine learning algorithms
- neural network
- random forests
- learning algorithm
- benchmark data sets
- machine learning
- decision trees
- machine learning methods
- learning problems
- predictive accuracy
- meta learning
- machine learning approaches
- input features
- learning tasks
- ensemble methods
- learning models
- back propagation
- artificial neural networks
- transfer learning
- standard machine learning algorithms
- stochastic gradient descent
- machine learning models
- akaike information criterion
- neural network ensemble
- machine learning systems
- real world
- base classifiers
- pairwise
- data sets