Structure Learning with Continuous Optimization: A Sober Look and Beyond.
Ignavier NgBiwei HuangKun ZhangPublished in: CoRR (2023)
Keyphrases
- structure learning
- continuous optimization
- bayesian networks
- graphical models
- optimization methods
- parameter estimation
- metaheuristic
- simulated annealing
- conditional independence
- transfer learning
- markov logic networks
- sample size
- optimization strategy
- linear models
- markov networks
- network structure
- data mining
- data sets
- bayesian inference
- linear model
- model selection
- particle swarm optimization
- image sequences
- image segmentation
- machine learning