In this paper, we employ a novel approach to metarule-guided, multi-dimensional association rule mining which explores a data cube structure. We propose algorithms for metarule-gu...
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
Abstract. Educational systems that model the user enable personalisation. Systems that open the model to the user to prompt reflection are increasingly common. These often offer a ...
Susan Bull, Inderdip Gakhal, Daniel Grundy, Matthe...
We present a new language feature, specified as an extension to Java. The feature is a form of dispatch which includes and subsumes multimethods (see for example [3]), but which ...