Efficient calibration for rssi-based indoor localization by bayesian experimental design on multi-task classification.
Masamichi ShimosakaOsamu SaishoPublished in: UbiComp (2016)
Keyphrases
- experimental design
- multi task
- feature selection
- multi task learning
- indoor localization
- classification accuracy
- machine learning
- active learning
- decision trees
- support vector
- transfer learning
- image classification
- class imbalance
- learning tasks
- camera calibration
- sample size
- model selection
- text classification
- machine learning algorithms
- learning problems
- support vector machine
- class labels
- text categorization
- high dimensionality
- pairwise
- indoor environments
- supervised learning
- signal strength