Active learning for structured probabilistic models with histogram approximation.
Qing SunAnkit LaddhaDhruv BatraPublished in: CVPR (2015)
Keyphrases
- probabilistic model
- active learning
- graphical models
- approximation algorithms
- gray level
- generative model
- selective sampling
- probabilistic modeling
- bayesian inference
- bayesian networks
- training set
- hidden variables
- approximation error
- supervised learning
- learning strategies
- latent variables
- language model
- experimental design
- approximation methods
- active learning strategies
- imbalanced data classification
- mean shift
- error bounds
- conditional random fields
- real world
- structured data
- semi supervised
- closed form
- transfer learning
- queueing networks
- relevance feedback
- selectivity estimation
- information extraction
- training data
- learning algorithm
- pool based active learning
- information retrieval