A KNN-Based Non-Parametric Conditional Independence Test for Mixed Data and Application in Causal Discovery.
Johannes HuegleChristopher HagedornRainer SchlosserPublished in: ECML/PKDD (1) (2023)
Keyphrases
- knn
- conditional independence
- causal discovery
- mixed data
- k nearest neighbor
- causal models
- bayesian networks
- nearest neighbor
- random variables
- probability distribution
- causal relationships
- directed acyclic graph
- graphical models
- similarity search
- structure learning
- text categorization
- discovery process
- text classification
- markov blanket
- k nearest neighbour
- neural network
- distance function
- knn algorithm
- data compression
- support vector machine
- knn classifier
- probabilistic model
- feature selection
- data sets