Are we really Bayesian? Probabilistic inference shows sub-optimal knowledge transfer.
Chin-Hsuan Sophie LinTrang Thuy DoLee UnsworthMarta I. GarridoPublished in: PLoS Comput. Biol. (2024)
Keyphrases
- probabilistic inference
- knowledge transfer
- bayesian networks
- graphical models
- weighted model counting
- approximate inference
- conditional probabilities
- transfer learning
- knowledge sharing
- message passing
- cross domain
- optimal solution
- belief networks
- belief propagation
- dynamic programming
- maximum likelihood
- learning tasks
- information systems
- neural network
- mutual adaptation
- graph cuts
- e government
- knowledge management
- probabilistic model
- artificial neural networks
- case study
- decision trees