A Gibbs Sampling Algorithm with Monotonicity Constraints for Diagnostic Classification Models.
Kazuhiro YamaguchiJonathan TemplinPublished in: J. Classif. (2022)
Keyphrases
- classification models
- sampling algorithm
- monotonicity constraints
- markov chain monte carlo
- random sampling
- logic programs
- training data
- monte carlo
- decision trees
- markov chain
- feature selection
- posterior distribution
- generative model
- equality constraints
- feature set
- markov random field
- posterior probability
- bayesian inference
- neural network
- particle filter
- probabilistic model
- computer vision
- data sets