A Classification Learning Research based on Discriminative Knowledge-Leverage Transfer.
Ding XiongLu YanPublished in: Int. J. Ambient Comput. Intell. (2018)
Keyphrases
- knowledge transfer
- learning systems
- prior knowledge
- supervised learning
- knowledge acquisition
- learning process
- learning algorithm
- discriminative learning
- incremental learning
- unsupervised learning
- acquire knowledge
- learning tasks
- classification algorithm
- classification accuracy
- machine learning
- training set
- expert systems
- support vector
- image classification
- neural network
- active learning
- model selection
- generative model
- structured output
- background knowledge
- transfer learning
- knowledge sharing
- positive examples
- training data
- previously learned
- human experts
- transfer knowledge
- prior domain knowledge
- positive training examples
- bayesian network classifiers
- feature selection
- weakly supervised
- feature extraction
- reinforcement learning
- machine learning algorithms
- text classification