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CVPR
2000
IEEE
14 years 10 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
CHI
2010
ACM
14 years 3 months ago
Presenting diverse political opinions: how and how much
Is a polarized society inevitable, where people choose to be exposed to only political news and commentary that reinforces their existing viewpoints? We examine the relationship b...
Sean A. Munson, Paul Resnick
IAT
2006
IEEE
14 years 2 months ago
Collaborative RPD Agents Assisting Decision Making in Active Decision Spaces
One of the challenging issues in a distributed time sensitive information rich environment is how to assist the decision makers to make decisions quickly and effectively. This pap...
Guruprasad Airy, Po-Chun Chen, Xiaocong Fan, John ...
KI
2007
Springer
14 years 2 months ago
Making a Robot Learn to Play Soccer Using Reward and Punishment
In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
Heiko Müller, Martin Lauer, Roland Hafner, Sa...
AAMAS
2012
Springer
12 years 4 months ago
Using argumentation to model agent decision making in economic experiments
In this paper we demonstrate how a qualitative framework for decision making can be used to model scenarios from experimental economic studies and we show how our approach explains...
Trevor J. M. Bench-Capon, Katie Atkinson, Peter Mc...