Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
This paper presents Lecomps5, a web-based system for automated course personalization in distance learning environments. This system is an upgraded version of the Lecomps4 system,...
Carla Limongelli, Filippo Sciarrone, Marco Temperi...
We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
Wireless technologies are poised to bring major changes in the information infrastructure, transforming communications and facilitating information retrieval. Over the next severa...
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...