Joint machine learning and human learning design with sequential active learning and outlier detection for linear regression problems.
Xiaohua LiJian ZhengPublished in: CISS (2016)
Keyphrases
- outlier detection
- regression problems
- learning design
- active learning
- machine learning
- linear regression
- genetic programming
- cross validation
- knowledge discovery
- support vector machine
- authoring tool
- data mining
- detection algorithm
- learning algorithm
- learning resources
- learning activities
- data streams
- learning processes
- random forests
- learning machines
- input space
- learning experience
- feature selection
- transfer learning
- learning management systems
- random sampling
- multi task
- supervised learning
- semi supervised learning
- learning objects
- learning systems
- learning analytics
- learning tasks
- learning materials
- training examples
- machine learning algorithms
- decision trees
- labeled data
- training set
- text classification
- learning process
- e learning
- unlabeled data
- kernel methods
- model selection
- reinforcement learning
- learning environment
- video sequences
- optical flow
- nearest neighbor
- least squares
- input data
- learning problems
- closed form
- learning styles
- high dimensional data