Stochastic modeling of non-linear adsorption with Gaussian kernel density estimators.
Maryam RahbaralamAmir AbdollahiDaniel Fernàndez-GarciaXavier Sanchez-VilaPublished in: CoRR (2020)
Keyphrases
- image processing
- kernel density estimators
- density estimation
- probability models
- linear regression
- density function
- maximum likelihood
- eeg signals
- gaussian mixture model
- probability density
- anytime classification
- image segmentation
- knowledge discovery
- support vector machine
- least squares
- naive bayes
- gaussian mixture
- machine learning