Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Visualisation and structuring of tasks in a schedule, from relatively simple activities such as meeting scheduling to more complex ones such as project planning, has been traditio...
Saturnino Luz, Masood Masoodian, Daniel McKenzie, ...
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
We introduce mCP nets, an extension of the CP net formalism to model and handle the qualitative and conditional preferences of multiple agents. We give a number of different seman...
Francesca Rossi, Kristen Brent Venable, Toby Walsh
— Today, there are many opportunities to create vision-based intelligent systems that are human-centric. This is a very rich area because humans are very complex, and the number ...
Robert Bodor, Andrew Drenner, Paul R. Schrater, Ni...