Bayesian hierarchical modelling for tailoring metric thresholds.
Neil A. ErnstPublished in: MSR (2018)
Keyphrases
- nonparametric bayesian
- bayesian networks
- distance measure
- bayesian estimation
- coarse to fine
- scoring metrics
- real time
- data driven
- data sets
- bayesian inference
- fisher information
- hierarchical structures
- multiscale
- hierarchical classification
- bayesian decision
- neural network
- adaptive threshold
- euclidean metric
- hierarchical bayesian
- maximum likelihood
- hierarchical model
- bayesian learning
- posterior probability
- probability density function
- hierarchical clustering
- hierarchical structure
- euclidean distance