An active learning-based incremental deep-broad learning algorithm for unbalanced time series prediction.
Xin ShenQun DaiWusat UllahPublished in: Inf. Sci. (2023)
Keyphrases
- active learning
- learning algorithm
- batch mode
- incremental learning
- training examples
- labeled data
- semi supervised
- artificial neural networks
- supervised learning
- unlabeled data
- learning process
- sample complexity
- neuro fuzzy
- learning strategies
- machine learning
- learning problems
- generalization error
- machine learning algorithms
- query by committee
- recurrent neural networks
- non stationary
- training data
- experimental design
- selective sampling
- function approximation
- ls svm
- moving average
- neural network model
- active learning strategies
- semi supervised learning
- relevance feedback
- training set
- learning tasks
- neural network
- generalization ability
- random sampling
- incremental version
- training samples
- pool based active learning
- machine learning methods
- multivariate time series
- learning scheme
- transfer learning
- reinforcement learning
- data mining