Comparing Sample-Wise Learnability across Deep Neural Network Models.
Seung-Geon LeeJaedeok KimHyun-Joo JungYoonsuck ChoePublished in: AAAI (2019)
Keyphrases
- neural network model
- neural network
- artificial neural networks
- network architecture
- multilayer perceptron
- input variables
- neural models
- bp neural network
- learning algorithm
- rbf neural network
- growing neural gas
- multi layer perceptron
- boolean functions
- uniform distribution
- pac learning
- radial basis function network
- finite automata
- bayesian models
- pairwise
- training data
- sample size
- regression model
- fuzzy logic
- pattern languages
- forecasting accuracy