Improving activity classification for health applications on mobile devices using active and semi-supervised learning.
Brent LongstaffSasank ReddyDeborah EstrinPublished in: PervasiveHealth (2010)
Keyphrases
- semi supervised learning
- supervised learning
- improve the classification accuracy
- semi supervised classification
- semi supervised
- co training
- mobile devices
- unlabeled data
- unsupervised learning
- machine learning
- transductive support vector machine
- semi supervised learning algorithms
- labeled data
- uci datasets
- labeled and unlabeled data
- supervised learning algorithms
- unlabeled samples
- active learning
- text classification
- class labels
- label propagation
- manifold regularization
- supervised classification
- transfer learning
- graph based semi supervised learning
- classification accuracy
- instance selection
- pattern recognition
- labeled instances
- image classification
- decision trees
- feature extraction
- labeled examples
- support vector machine
- classification models
- incremental learning
- learning tasks
- training data
- model selection
- dimension reduction
- machine learning algorithms
- feature selection
- object recognition
- feature space
- data sets