The Boltzmann g-RHONN: A learning machine for estimating unknown probability distributions.
Elias B. KosmatopoulosManolis A. ChristodoulouPublished in: Neural Networks (1994)
Keyphrases
- learning machines
- probability distribution
- support vector
- model selection
- ensemble learning
- training algorithm
- vapnik chervonenkis dimension
- learning tasks
- pattern recognition
- random variables
- support vector machine
- learning problems
- learning algorithm
- vc dimension
- sample complexity
- machine learning
- high order
- machine learning algorithms
- upper bound
- feature vectors
- generalization error
- bayesian networks
- feature extraction