A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification.
Bin LiuYing YangGeoffrey I. WebbJanice R. BoughtonPublished in: PAKDD (2009)
Keyphrases
- naive bayesian classification
- kernel density estimation
- mean shift
- privacy preserving
- density estimation
- probability density function
- density function
- object segmentation
- higher dimensional
- probability density
- mixture model
- computer vision
- bayesian framework
- learning algorithm
- gaussian mixture model
- maximum likelihood estimation
- expectation maximization