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CDC
2009
IEEE
158views Control Systems» more  CDC 2009»
15 years 10 months ago
Multiple target detection using Bayesian learning
In this paper, we study multiple target detection using Bayesian learning. The main aim of the paper is to present a computationally efficient way to compute the belief map update ...
Sujit Nair, Konda Reddy Chevva, Houman Owhadi, Jer...
ITS
2010
Springer
176views Multimedia» more  ITS 2010»
15 years 8 months ago
A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning
We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners’...
Sidney K. D'Mello, Blair Lehman, Jeremiah Sullins,...
GECON
2008
Springer
134views Business» more  GECON 2008»
15 years 7 months ago
Rational Bidding Using Reinforcement Learning
The application of autonomous agents by the provisioning and usage of computational resources is an attractive research field. Various methods and technologies in the area of arti...
Nikolay Borissov, Arun Anandasivam, Niklas Wirstr&...
CMOT
1999
143views more  CMOT 1999»
15 years 6 months ago
Structural Learning: Attraction and Conformity in Task-Oriented Groups
This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural...
James A. Kitts, Michael W. Macy, Andreas Flache
CEC
2005
IEEE
16 years 11 days ago
Sensorimotor experience and its metrics: informational geometry and the temporal horizon
Abstract- We introduce metrics on sensorimotor experience at various temporal scales based on informationtheory. Sensorimotor variables through which the experience of an agent fl...
Chrystopher L. Nehaniv