Optimizing protein fitness using Gibbs sampling with Graph-based Smoothing.
Andrew KirjnerJason YimRaman SamusevichTommi S. JaakkolaRegina BarzilayIla FietePublished in: CoRR (2023)
Keyphrases
- gibbs sampling
- topic models
- parameter estimation
- approximate inference
- markov chain
- latent dirichlet allocation
- em algorithm
- expectation maximization
- belief networks
- evolutionary algorithm
- markov chain monte carlo
- genetic algorithm
- exact inference
- semi supervised
- model selection
- maximum likelihood
- graphical models
- image processing
- least squares
- belief propagation
- visual tracking
- latent variables
- high dimensional
- bayesian networks
- structured prediction
- data mining