Sampling-Free Learning of Bayesian Quantized Neural Networks.
Jiahao SuMilan CvitkovicFurong HuangPublished in: CoRR (2019)
Keyphrases
- neural network
- learning algorithm
- learning process
- inductive inference
- genetic algorithm
- bayesian networks
- reinforcement learning
- pattern recognition
- supervised learning
- learning capabilities
- bayesian learning
- learning systems
- monte carlo
- learning problems
- training process
- cascade correlation
- data sets
- neural nets
- incremental learning
- learning tasks
- knowledge acquisition
- online learning
- active learning