Machine learning on small size samples: A synthetic knowledge synthesis.
Peter KokolMarko KokolSaso ZagoranskiPublished in: CoRR (2021)
Keyphrases
- small size
- machine learning
- knowledge representation
- knowledge acquisition
- knowledge discovery
- domain knowledge
- learning systems
- knowledge engineering
- data analysis
- decision trees
- knowledge extraction
- knowledge base
- computer vision
- learning algorithm
- knowledge elicitation
- machine learning algorithms
- higher level
- knowledge based systems
- text classification
- information extraction
- computer science
- pattern recognition
- feature selection
- supervised learning
- support vector machine
- background knowledge
- knowledge sharing
- knowledge sources
- expert knowledge
- reinforcement learning
- poor quality