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WIAS
2010
109views more  WIAS 2010»
13 years 3 months ago
Model identification in interactive influence diagrams using mutual information
Modeling the perceived behaviors of other agents improves the performance of an agent in multiagent interactions. We utilize the language of interactive influence diagrams to mode...
Yifeng Zeng, Prashant Doshi
CVPR
2009
IEEE
15 years 4 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
ATAL
2006
Springer
14 years 23 days ago
Learning to commit in repeated games
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
Stéphane Airiau, Sandip Sen
ASPLOS
2011
ACM
13 years 19 days ago
MemScale: active low-power modes for main memory
Main memory is responsible for a large and increasing fraction of the energy consumed by servers. Prior work has focused on exploiting DRAM low-power states to conserve energy. Ho...
Qingyuan Deng, David Meisner, Luiz E. Ramos, Thoma...
ICMI
2004
Springer
189views Biometrics» more  ICMI 2004»
14 years 2 months ago
A multimodal learning interface for sketch, speak and point creation of a schedule chart
We present a video demonstration of an agent-based test bed application for ongoing research into multi-user, multimodal, computer-assisted meetings. The system tracks a two perso...
Edward C. Kaiser, David Demirdjian, Alexander Grue...