Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation.
François SchnitzlerSourour AmmarPhilippe LerayPierre GeurtsLouis WehenkelPublished in: ECML/PKDD (3) (2011)
Keyphrases
- density estimation
- high dimensional
- markov tree
- mixture modeling
- mixture model
- density function
- probability density function
- outlier detection
- decision trees
- nonparametric density estimation
- ensemble methods
- probability density
- parzen window
- similarity search
- density estimates
- gaussian mixture model
- em algorithm
- low dimensional
- belief functions
- high dimensionality
- generalization error
- data sets
- high dimensional data
- nearest neighbor
- multi class
- machine learning