A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio.
Jamshid SouratiMurat AkçakayaDeniz ErdogmusTodd K. LeenJennifer G. DyPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2018)
Keyphrases
- fisher information
- learning algorithm
- information geometry
- probability density function
- bayesian networks
- active learning
- probabilistic model
- machine learning
- generative model
- euclidean space
- noise level
- information theoretic
- supervised learning
- learning problems
- geodesic distance
- kullback leibler divergence
- free energy
- feature extraction