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ATAL
2004
Springer
14 years 1 months ago
Learning User Preferences for Wireless Services Provisioning
The problem of interest is how to dynamically allocate wireless access services in a competitive market which implements a take-it-or-leave-it allocation mechanism. In this paper ...
George Lee, Steven Bauer, Peyman Faratin, John Wro...
ATAL
2003
Springer
14 years 1 months ago
Authoring scenes for adaptive, interactive performances
In this paper, we introduce a toolkit called SceneMaker for authoring scenes for adaptive, interactive performances. These performances are based on automatically generated and pr...
Patrick Gebhard, Michael Kipp, Martin Klesen, Thom...
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
14 years 2 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
ATAL
2007
Springer
14 years 2 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
TMI
2010
113views more  TMI 2010»
13 years 6 months ago
Multiscale Model of Liver DCE-MRI Towards a Better Understanding of Tumor Complexity
Abstract—The use of quantitative imaging for the characterization of hepatic tumors in MRI can improve the diagnosis and therefore the treatment of these life-threatening tumors....
Muriel Mescam, Marek Kretowski, Johanne Béz...