A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data.
Sebastian ThrunGeoffrey J. GordonFrank PfenningMary BernaBrennan SellnerBrad LisienPublished in: IJCAI (2003)
Keyphrases
- signal strength
- labeled and unlabeled data
- unlabeled data
- learning algorithm
- labeled data
- semi supervised
- semi supervised learning
- wifi
- learning tasks
- multipath
- indoor environments
- base station
- active learning
- training data
- co training
- supervised learning
- access points
- radio frequency
- received signal strength
- wireless networks
- text classification
- learning models
- training examples
- class labels
- end to end
- transfer learning
- machine learning
- data points
- wireless systems
- machine learning algorithms
- training samples
- wireless communication
- mobile users
- prior knowledge
- unsupervised learning
- mobile robot
- mobile devices
- wireless sensor networks
- cellular networks
- training set
- smart phones
- energy consumption
- mobile ad hoc networks
- sensor networks
- learning process
- multi view
- ad hoc networks
- feature space
- context aware