Efficacy of Bayesian Neural Networks in Active Learning.
Vineeth RakeshSwayambhoo JainPublished in: CVPR Workshops (2021)
Keyphrases
- active learning
- neural network
- pattern recognition
- machine learning
- maximum likelihood
- multilayer perceptron
- experimental design
- learning strategies
- bayesian networks
- selective sampling
- genetic algorithm
- bayesian learning
- posterior distribution
- fuzzy logic
- semi supervised
- data driven
- posterior probability
- neural network model
- back propagation
- bayesian estimation
- fuzzy systems
- training examples
- data sets
- supervised learning
- learning algorithm
- training set
- music emotion classification
- self organizing maps
- pool based active learning
- bayesian decision
- learning process
- control system
- gaussian processes
- network architecture
- probabilistic model
- probability distribution
- random sampling
- recurrent neural networks
- semi supervised learning