Nonparametric Estimations and the Diffeological Fisher Metric.
Hông Vân LêAlexey A. TuzhilinPublished in: SPIGL (2020)
Keyphrases
- metric space
- data driven
- similarity metric
- kernel density estimation
- nonparametric regression
- bayesian modeling
- hierarchical bayesian
- real time
- metric learning
- density estimation
- minimum risk
- error metrics
- euclidean metric
- evaluation metrics
- euclidean distance
- semi supervised
- case study
- information systems
- social networks
- neural network
- databases