Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data.
Yen-hsiu ChouShenda HongYuxi ZhouJunyuan ShangMoxian SongHongyan LiPublished in: Neurocomputing (2020)
Keyphrases
- prior knowledge
- learning models
- raw data
- expert knowledge
- background knowledge
- learning systems
- experimental data
- input data
- empirical data
- test data
- learned models
- data analysis
- database
- knowledge acquisition
- conceptual model
- knowledge discovery
- learning scheme
- human experts
- sensory data
- data sets
- probabilistic model
- supervised learning
- prior domain knowledge
- accurate models
- missing information
- learning algorithm
- learning mechanism
- training data
- hidden variables
- data structure
- learning process
- domain knowledge
- probability distribution
- computational model
- learning tasks
- statistical methods
- video sequences
- concept maps
- knowledge transfer
- data points
- reinforcement learning
- knowledge representation
- bayesian methods
- semi supervised
- training examples
- machine learning
- labeled data
- knowledge management