The Nonparametric Kernel Bayes Smoother.
Yu NishiyamaAmir AfsharinejadShunsuke NaruseByron BootsLe SongPublished in: AISTATS (2016)
Keyphrases
- kernel density estimation
- support vector
- kernel density estimator
- nadaraya watson
- kernel density
- kernel function
- kernel regression
- kernel methods
- feature space
- data driven
- parzen window
- nonparametric density estimation
- decision trees
- support vector machine
- component analysis
- bayes optimal
- convolution kernel
- sparse kernel
- bayesian modeling
- hierarchical bayesian
- neural network
- kernel pca
- density estimation
- mean shift
- cross validation
- kernel space
- kernel density estimators
- mutual subspace method
- probability of correct classification