Improving Prediction with Causal Probabilistic Variables.
Ana Rita NogueiraJoão GamaCarlos Abreu FerreiraPublished in: IDA (2020)
Keyphrases
- causal relationships
- bayesian networks
- causal networks
- causal relations
- target variable
- markov blanket
- prediction model
- prediction accuracy
- causal models
- causal structure
- probabilistic model
- conditional probabilities
- variable elimination
- relevant variables
- structural model
- prediction algorithm
- posterior probability
- random variables
- probabilistic logic
- generative model
- continuous valued
- probabilistic reasoning
- sequence prediction
- causal bayesian networks
- causal ordering
- directed acyclic graph
- prediction error
- data driven
- data sets
- hidden variables
- causal effects
- regression model
- discrete valued
- genetic algorithm