Emergent Structuring of Interdependent Affordance Learning Tasks Using Intrinsic Motivation and Empirical Feature Selection.
Emre UgurJustus H. PiaterPublished in: IEEE Trans. Cogn. Dev. Syst. (2017)
Keyphrases
- learning tasks
- intrinsic motivation
- feature selection
- machine learning
- multi task
- learning problems
- multi task learning
- supervised learning
- transfer learning
- college students
- learning algorithm
- text categorization
- kernel learning
- multi label
- statistically significant
- job satisfaction
- text classification
- learning experience
- feature set
- feature space
- machine learning algorithms
- support vector machine
- knowledge transfer
- cognitive style
- information gain
- feature extraction
- knn
- information technology
- kernel methods
- data mining
- model selection
- text mining
- active learning
- data analysis
- support vector
- image segmentation