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» The use of agents in human learning systems
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ICTAI
2007
IEEE
16 years 26 days ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
3DPH
2009
163views Healthcare» more  3DPH 2009»
15 years 7 months ago
Discriminative Human Full-Body Pose Estimation from Wearable Inertial Sensor Data
Abstract. In this paper, a method is presented that allows reconstructing the full-body pose of a person in real-time, based on the limited input from a few wearable inertial senso...
Loren Arthur Schwarz, Diana Mateus, Nassir Navab
CHI
2009
ACM
16 years 7 months ago
Learning to predict information needs: context-aware display as a cognitive aid and an assessment tool
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
CSCWD
2005
Springer
16 years 3 days ago
Supporting peer-to-peer collaboration through trust
Distributed systems generally require their component parts to interact cooperatively, in order for the system as a whole to function effectively. For any given activity, several ...
Nathan Griffiths, Shanghua Sun
ACMACE
2004
ACM
15 years 12 months ago
Extending game participation with embodied reporting agents
We introduce a multi-agent framework to generate reports of players' activities within multi-player computer games so that other players who are currently unable to participa...
Dan Fielding, Mike Fraser, Brian Logan, Steve Benf...