Using Cross-Task Classification for Classifying Workload Levels in Complex Learning Tasks.
Carina WalterStephanie SchmidtWolfgang RosenstielPeter GerjetsMartin BogdanPublished in: ACII (2013)
Keyphrases
- learning tasks
- supervised learning
- machine learning
- machine learning algorithms
- learning problems
- meta learning
- classification accuracy
- multi task
- learning algorithm
- feature vectors
- transfer learning
- support vector machine
- kernel methods
- kernel learning
- learning experience
- learning models
- computer vision
- multitask learning
- labeled and unlabeled data
- multi label
- image classification
- metric learning
- decision trees
- hypothesis space
- model selection
- multi task learning
- data sets
- active learning
- feature space
- support vector
- feature extraction
- classification models
- nearest neighbor
- image segmentation
- information retrieval
- neural network