Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
In the Bayesian approach to sequential decision making, exact calculation of the (subjective) utility is intractable. This extends to most special cases of interest, such as reinfo...
A novel system for long-term tracking of a human face in unconstrained videos is built on Tracking-Learning-Detection (TLD) approach. The system extends TLD with the concept of a ...
This paper explored whether a consideration of the personality type of each learner would extend collaborative learning experiences under a distant learning or e-learning environm...
This paper looks at the use of Interactive Learning Objects in teaching using a number of media types, we refer to these as Multimedia Interactive Learning Objects (MILO's) T...