High-dimensional dynamics of generalization error in neural networks.
Madhu S. AdvaniAndrew M. SaxePublished in: CoRR (2017)
Keyphrases
- generalization error
- neural network
- high dimensional
- cross validation
- active learning
- model selection
- upper bound
- learning algorithm
- binary classification
- classification error
- training data
- training set
- linear classifiers
- variable selection
- training error
- supervised learning
- sample size
- sample complexity
- perceptron learning
- low dimensional
- target function
- fuzzy logic
- artificial neural networks
- generalization error bounds
- back propagation
- dimensionality reduction
- multilayer perceptron
- conditional expectation
- machine learning
- neural network model
- data points
- training process
- recurrent neural networks
- subspace information criterion
- training algorithm
- fault diagnosis
- knn
- lower bound
- feature space
- genetic algorithm