Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms.
Olivier TeytaudHélène Paugam-MoisyPublished in: ICANN (2001)
Keyphrases
- bayesian inference
- generalization ability
- generalization bounds
- learning algorithm
- markov chain monte carlo
- ensemble learning
- support vector machine svm
- worst case
- machine learning algorithms
- support vector machine
- upper bound
- benchmark datasets
- ranking algorithm
- bp neural network
- data sets
- data points
- probabilistic model
- prior information
- control system
- lower bound
- support vector
- genetic algorithm
- neural network