Bayesian Kernel Regression for Noisy Inputs Based on Nadaraya-Watson Estimator Constructed from Noiseless Training Data.
Ryo HanafusaTakeshi OkadomePublished in: Adv. Data Sci. Adapt. Anal. (2020)
Keyphrases
- nadaraya watson
- kernel regression
- noisy data
- training data
- regression model
- missing data
- random fields
- high dimensional
- linear regression
- incomplete data
- parameter optimization
- prior knowledge
- support vector machine
- training set
- bayesian inference
- decision trees
- regression methods
- bayesian networks
- maximum likelihood