Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets.
Khen CohenNoam LeviYaron OzPublished in: CoRR (2024)
Keyphrases
- neural nets
- high dimensions
- gaussian mixture
- closed form
- feed forward
- high dimensional data
- high dimensional
- expectation maximization
- decision trees
- covariance matrix
- poor quality
- neural network
- support vector
- training data
- artificial neural networks
- back propagation
- learning tasks
- computer vision
- gaussian mixture model
- class labels
- machine learning algorithms
- em algorithm
- probability density function
- high dimensional spaces
- mixture model
- image classification
- probabilistic model
- pattern recognition
- feature selection
- learning algorithm
- genetic algorithm
- machine learning