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» Adapting SME Learning Environments for Adaptivity
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ICIP
2007
IEEE
16 years 1 months ago
MuFeSaC: Learning When to Use Which Feature Detector
Interest point detectors are the starting point in image analysis for depth estimation using epipolar geometry and camera ego-motion estimation. With several detectors defined in ...
Sreenivas R. Sukumar, David L. Page, Hamparsum Boz...
SECON
2007
IEEE
15 years 6 months ago
Self-Learning Repeated Game Framework for Distributed Primary-Prioritized Dynamic Spectrum Access
Dynamic spectrum access has become a promising approach to fully utilize the scarce spectrum resources. In a dynamically changing spectrum environment, it is very important to desi...
Beibei Wang, Zhu Ji, K. J. Ray Liu
AI
2001
Springer
15 years 3 months ago
Learning about Constraints by Reflection
A system's constraints characterizes what that system can do. However, a dynamic environment may require that a system alter its constraints. If feedback about a specific situ...
J. William Murdock, Ashok K. Goel
LAMAS
2005
Springer
15 years 5 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
ICALT
2006
IEEE
15 years 6 months ago
Domain Ontology for Personalized E-Learning in Educational Systems
This paper introduces a domain ontology to describe learning material that compose a course, capable of providing adaptive e-learning environments and reusable educational resourc...
José Manuel Gascueña, Antonio Fern&a...