A Logic for Causal Inference in Time Series with Discrete and Continuous Variables.
Samantha KleinbergPublished in: IJCAI (2011)
Keyphrases
- continuous variables
- causal inference
- abductive reasoning
- discrete variables
- rare events
- bayesian networks
- dynamic systems
- nonmonotonic reasoning
- additive noise
- causal models
- discrete data
- random variables
- logic programming
- computationally expensive
- inference rules
- structure learning
- naive bayes classifier
- logic programs
- continuous domains
- routing problem
- hidden variables
- modal logic
- convex hull
- probabilistic logic
- graphical models
- probabilistic model
- active learning
- training data
- semi supervised
- joint distribution
- model selection