Quantitative causality, causality-guided scientific discovery, and causal machine learning.
X. San LiangDake ChenRenhe ZhangPublished in: CoRR (2024)
Keyphrases
- scientific discovery
- human reasoning
- machine learning
- causal relationships
- causal reasoning
- causal relations
- causal models
- causal inference
- granger causality
- qualitative models
- causal ordering
- causal knowledge
- causal discovery
- knowledge discovery
- artificial intelligence
- indirect effects
- data mining
- causal networks
- causal links
- causal bayesian networks
- explanation based learning
- active learning
- computer science
- temporal ordering
- qualitative and quantitative
- knowledge base
- natural language processing
- causal structure
- machine learning algorithms
- decision making
- causal graph
- feature selection
- information retrieval
- real world
- observational data
- information extraction
- supervised learning
- structural model
- text mining
- computational intelligence
- text classification
- inductive learning
- dynamic systems
- learning tasks
- machine learning methods