Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning.
Mike WalmsleyLewis SmithChris J. LintottYarin GalSteven BamfordHugh DickinsonLucy FortsonSandor KrukKaren MastersClaudia ScarlataBrooke SimmonsRebecca J. SmethurstDarryl WrightPublished in: CoRR (2019)
Keyphrases
- active learning
- bayesian networks
- posterior probability
- data driven
- decision theory
- learning algorithm
- experimental design
- bayesian inference
- learning strategies
- machine learning
- generative model
- labeled data
- cellular neural networks
- random sampling
- training examples
- maximum likelihood
- image processing
- relevance feedback
- semi supervised
- uncertain data
- posterior distribution
- probabilistic logic
- semi supervised learning
- supervised learning
- conditional probabilities
- multi class
- probability distribution
- probabilistic model
- decision trees
- bayesian estimation
- selective sampling