New nonleast-squares neural network learning algorithms for hypothesis testing.
Dimitrios A. PadosP. Papantoni-KazakosPublished in: IEEE Trans. Neural Networks (1995)
Keyphrases
- hypothesis testing
- neural network
- learning algorithm
- back propagation
- likelihood ratio
- artificial neural networks
- hypothesis test
- statistical tests
- robust statistical
- machine learning algorithms
- machine learning
- active learning
- null hypothesis
- training data
- learning problems
- learning process
- graphical models
- supervised learning
- data sets
- statistically significant
- generalization ability
- sample complexity
- test statistic