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» A Formal Model for Process Context Learning
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TSMC
2011
210views more  TSMC 2011»
14 years 6 months ago
Fault Diagnosis in Discrete-Event Systems: Incomplete Models and Learning
— Most state-based approaches to fault diagnosis of discrete-event systems require a complete and accurate model of the system to be diagnosed. In this paper, we address the prob...
Raymond H. Kwong, David L. Yonge-Mallo
IUI
2006
ACM
15 years 5 months ago
Eye-tracking to model and adapt to user meta-cognition in intelligent learning environments
In this paper we describe research on using eye-tracking data for on-line assessment of user meta-cognitive behavior during the interaction with an intelligent learning environmen...
Christina Merten, Cristina Conati
JAIR
2002
120views more  JAIR 2002»
14 years 11 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
MHCI
2004
Springer
15 years 5 months ago
Mobile Context Aware Systems: The Intelligence to Support Tasks and Effectively Utilise Resources
: The complex usage of mobile devices coupled with their limited resources in terms of display and processing suggests that being able to understand the context of the user would b...
Russell Beale, Peter Lonsdale
AAAI
1994
15 years 1 months ago
A Model of Creative Understanding
Although creativity has largely been studied in problem solving contexts, creativity consists of both a generative component and a comprehension component. In particular, creativi...
Kenneth Moorman, Ashwin Ram