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» Learning Bounds for Domain Adaptation
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WEBI
2009
Springer
15 years 7 months ago
Adapting Reinforcement Learning for Trust: Effective Modeling in Dynamic Environments
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...
Özgür Kafali, Pinar Yolum
MODELS
2009
Springer
15 years 7 months ago
Weaving Variability into Domain Metamodels
A Domain-Specific Modeling Language (DSMLs) describes the concepts and their relationships of a particular domain, in a metamodel. Using a DSML, it is possible to describe a wide ...
Brice Morin, Gilles Perrouin, Philippe Lahire, Oli...
TIDSE
2004
Springer
15 years 5 months ago
Learning from the Movie Industry: Adapting Production Processes for Storytelling in VR
Any movie production needs a whole group of contributing authors and creative artists from various fields. The same should obviously be true for the making of a compelling VR scena...
Richard Wages, Benno Grützmacher, Stefan Conr...
IUI
2005
ACM
15 years 6 months ago
Active preference learning for personalized calendar scheduling assistance
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
Melinda T. Gervasio, Michael D. Moffitt, Martha E....
FLAIRS
2004
15 years 1 months ago
Cautious Cooperative Learning with Distributed Case-Based Reasoning
In this paper, we propose a cautious cooperative learning approach using distributed case-based reasoning. Our approach consists of two learning mechanisms: individual and coopera...
Leen-Kiat Soh