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» Learning Behavior Models for Hybrid Timed Systems
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99
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CHI
2007
ACM
16 years 25 days ago
Modeling and understanding students' off-task behavior in intelligent tutoring systems
We present a machine-learned model that can automatically detect when a student using an intelligent tutoring system is off-task, i.e., engaged in behavior which does not involve ...
Ryan Shaun Joazeiro de Baker
ICPP
2006
IEEE
15 years 6 months ago
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedi
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar
WEBI
2009
Springer
15 years 7 months ago
Adapting Reinforcement Learning for Trust: Effective Modeling in Dynamic Environments
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...
Özgür Kafali, Pinar Yolum
111
Voted
AAAI
2010
15 years 1 months ago
Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models
In this paper a system was developed for robot behavior acquisition using kinesthetic demonstrations. It enables a humanoid robot to imitate constrained reaching gestures directed...
Kaushik Subramanian
ICC
2009
IEEE
117views Communications» more  ICC 2009»
15 years 7 months ago
Reduced-Rank Adaptive Least Bit Error-Rate Detection in Hybrid Direct-Sequence Time-Hopping Ultrawide Bandwidth Systems
— In this paper we consider the low-complexity detection in hybrid direct-sequence time-hopping ultrawide bandwidth (DS-TH UWB) systems. A reduced-rank adaptive LBER detector is ...
Qasim Zeeshan Ahmed, Lie-Liang Yang, Sheng Chen