Co-active Learning to Adapt Humanoid Movement for Manipulation.
Ren MaoJohn S. BarasYezhou YangCornelia FermüllerPublished in: CoRR (2016)
Keyphrases
- active learning
- random sampling
- selective sampling
- learning strategies
- unlabeled data
- supervised learning
- semi supervised
- learning process
- training set
- active learning strategies
- neural network
- degrees of freedom
- manipulation tasks
- body movements
- experimental design
- batch mode active learning
- changing environment
- labeled data
- online learning
- cost sensitive
- humanoid robot
- database
- motion planning
- transfer learning
- motion capture
- training examples
- batch mode
- feature space
- sample selection
- learning algorithm
- annotation effort
- machine learning
- imbalanced data classification