In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
To minimize unwanted interruption and information overload during surveillance, mobile police officers need to be supported by a mobile, contextaware notification system. This syst...
Jan Willem Streefkerk, Myra P. van Esch-Bussemaker...
Reading detection is an important step in the process of automatic relevance feedback generation based on eye movements for information retrieval tasks. We describe a reading dete...
This paper describes a new software platform for the interactive exploration of human performance models such as Fitts' law. The software is written in Java and provides a fl...