Bayesian adaptive learning to latent variables via Variational Bayes and Maximum a Posteriori.
Hu HuSabato Marco SiniscalchiChin-Hui LeePublished in: CoRR (2024)
Keyphrases
- adaptive learning
- variational bayes
- posterior distribution
- latent variables
- maximum a posteriori
- hyperparameters
- bayesian learning
- markov random field
- maximum likelihood
- image reconstruction
- probabilistic model
- bayesian framework
- free energy
- random variables
- markov chain monte carlo
- hidden variables
- topic models
- prior knowledge
- gaussian process
- em algorithm
- reinforcement learning
- energy function
- bayesian inference
- graphical models
- learning environment
- e learning
- parameter estimation
- text mining
- natural language processing