Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Arti cial neural networks are computer software or hardware models inspired by the structure and behavior of neurons in the human nervous system. As a powerful learning tool, incr...
We consider classification of email messages as to whether or not they contain certain “email acts”, such as a request or a commitment. We show that exploiting the sequential ...
Abstract. We consider a statistical database in which a trusted administrator introduces noise to the query responses with the goal of maintaining privacy of individual database en...
It is an interesting challenge to design input devices that are easy to learn and use and that allow a wide range of differentiated input. We have developed a novel joystick-like ...