The information on the World Wide Web is growing without bound. Users may have very diversified preferences in the pages they target through a search engine. It is therefore a chal...
Qingzhao Tan, Xiaoyong Chai, Wilfred Ng, Dik Lun L...
In this paper, we report on the integration challenges of the various component technologies developed towards the establishment of a framework for deploying an adaptive system of...
M. Ani Hsieh, Anthony Cowley, James F. Keller, Lui...
We aim at merging technologies from information technology, roomware, and robotics in order to design adaptive and intelligent furniture. This paper presents design principles for ...
In implicit human computer interaction, computers are required to understand users’ actions and intentions so as to provide proactive services. Visual processing has to detect an...
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...