Effect of dimensionality and estimation on the performance of gaussian classifiers.
T. S. El-SheikhArthur G. WackerPublished in: Pattern Recognit. (1980)
Keyphrases
- intrinsic dimensionality
- training data
- training samples
- dimensionality reduction
- naive bayes
- classification algorithm
- training set size
- high dimensional
- maximum likelihood
- decision trees
- gaussian kernels
- support vector
- supervised classification
- training set
- data sets
- parameter estimation
- machine learning methods
- probability density
- feature space
- maximum likelihood estimation
- classification systems
- labeled data
- training examples
- class conditional
- multiple classifiers
- linear classifiers
- classification rate
- ensemble learning
- density estimation
- gaussian mixture model
- svm classifier
- machine learning algorithms