DeepWE: A Deep Bayesian Active Learning Waypoint Estimator for Indoor Walkers.
Zhao HuangStefan PosladQingquan LiBisheng YangJizhe XiaBang WuZhaoliang LuanYonglei FanPublished in: IEEE Internet Things J. (2023)
Keyphrases
- active learning
- maximum likelihood
- random sampling
- belief nets
- pursuit algorithm
- least squares
- bayesian learning
- supervised learning
- learning strategies
- training examples
- semi supervised
- machine learning
- indoor environments
- maximum a posteriori
- bayesian networks
- labeled data
- learning algorithm
- sample selection
- selective sampling
- error estimation
- imbalanced data classification
- semi supervised learning
- data sets
- em algorithm
- experimental design
- training set
- autonomous vehicles
- estimation algorithm
- posterior distribution
- relevance feedback
- posterior probability
- variance estimator
- model selection