Bayesian Hierarchical Modelling for Tailoring Metric Thresholds.
Neil A. ErnstPublished in: CoRR (2018)
Keyphrases
- nonparametric bayesian
- maximum likelihood
- bayesian learning
- distance measure
- bayesian networks
- bayesian estimation
- gaussian processes
- posterior distribution
- metric space
- scoring metrics
- bayesian analysis
- fisher information
- bayesian inference
- hierarchical structure
- distance function
- high dimensional
- data sets
- posterior probability
- database
- evaluation metrics
- metric learning
- distance metric
- similarity metric
- similarity search
- data driven
- hierarchical structures
- feature space
- case study