Optimal Kernel Choice for Score Function-based Causal Discovery.
Wenjie WangBiwei HuangFeng LiuXinge YouTongliang LiuKun ZhangMingming GongPublished in: CoRR (2024)
Keyphrases
- score function
- causal discovery
- optimal kernel
- causal models
- kernel function
- feature space
- linear combination
- discovery process
- causal relationships
- kernel learning
- objective function
- multiple kernel
- bayesian networks
- convex sets
- directed acyclic graph
- intuitionistic fuzzy
- interval valued
- multiple kernel learning
- fuzzy numbers
- conditional independence
- kernel methods
- neural network
- decision making
- kernel matrices
- machine learning
- sensitivity analysis
- knowledge discovery
- probabilistic model
- high dimensional
- support vector