Wide and Deep Neural Networks Achieve Optimality for Classification.
Adityanarayanan RadhakrishnanMikhail BelkinCaroline UhlerPublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- machine learning
- classification accuracy
- image classification
- support vector
- decision trees
- artificial neural networks
- feature selection
- support vector machine svm
- feature vectors
- rule extraction
- automatic classification
- supervised learning
- multi layer perceptron
- classification systems
- supervised classification
- learning vector quantization
- decision rules
- classification method
- fault diagnosis
- cost sensitive
- classification scheme
- learning rules
- classification process
- pattern classification
- training samples
- model selection
- text classification
- feature space
- recurrent neural networks
- training process
- classification rules
- machine learning methods
- nearest neighbor
- feature extraction
- radial basis function network
- genetic algorithm
- neural networks and support vector machines