Density Estimation with Imprecise Kernels: Application to Classification.
Guillaume DendievelSébastien DesterckePierre WachalskiPublished in: SMPS (2018)
Keyphrases
- density estimation
- parzen window
- probability density function
- mixture model
- reproducing kernel hilbert space
- density function
- support vector
- probability density
- nonparametric density estimation
- mixture modeling
- kernel density estimation
- pattern recognition
- classification accuracy
- feature vectors
- feature space
- gaussian mixture model
- pattern classification
- density estimators
- multivariate gaussian distribution
- support vector machine svm
- unsupervised learning
- decision trees
- feature selection
- classification rules
- machine learning methods
- supervised learning
- multi class
- training data
- similarity measure
- machine learning