Supervised structure learning.
Karl J. FristonLancelot Da CostaAlexander TschantzAlex B. KieferTommaso SalvatoriVictorita NeacsuMagnus T. KoudahlConor HeinsNoor SajidDimitrije MarkovicThomas ParrTim VerbelenChristopher L. BuckleyPublished in: CoRR (2023)
Keyphrases
- structure learning
- graphical models
- bayesian networks
- conditional independence
- parameter estimation
- bayesian network structure learning
- markov logic networks
- bayesian network classifiers
- parameter learning
- supervised learning
- learning algorithm
- transfer learning
- semi supervised
- markov blanket
- unsupervised learning
- sample size
- belief propagation
- probabilistic model
- markov networks
- model selection
- network structure
- knn
- probabilistic graphical models
- prior knowledge