Keyphrases
- causal discovery
- causal models
- mercer kernels
- kernel ridge regression
- causal relationships
- kernel pca
- reproducing kernel hilbert space
- simple linear
- kernel regression
- regression model
- discovery process
- support vector
- causal structure
- kernel methods
- classification and regression problems
- regression method
- gaussian processes
- bayesian networks
- kernel function
- directed acyclic graph
- markov blanket
- nonlinear regression
- observational data
- linear regression
- feature space
- model selection
- regression algorithm
- support vector regression
- regression problems
- conditional independence
- learning algorithm
- data analysis
- influence diagrams
- cross validation
- decision making