— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
The relationship between constraint-based mining and constraint programming is explored by showing how the typical constraints used in pattern mining can be formulated for use in ...
In many environments, it is often the case that input is made to displays that are positioned non-traditionally relative to one or more users. This typically requires users to per...
Daniel Wigdor, Chia Shen, Clifton Forlines, Ravin ...
This paper describes an ethnographic study completed within a kindergarten environment with the view of gaining insights into the development of new technology for young children....
Realityflythrough is a telepresence/tele-reality system that works in the dynamic, uncalibrated environments typically associated with ubiquitous computing. By harnessing networke...