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SAGA
2001
Springer
15 years 7 months ago
Stochastic Finite Learning
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Thomas Zeugmann
113
Voted
ALT
2006
Springer
15 years 11 months ago
Iterative Learning from Positive Data and Negative Counterexamples
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher ...
Sanjay Jain, Efim B. Kinber
113
Voted
AH
2006
Springer
15 years 8 months ago
Assessment of Motivation in Online Learning Environments
This research outline refers to the assessment of motivation in online learning environments. It includes a presentation of previous approaches, most of them based on Keller’s AR...
Mihaela Cocea
130
Voted
IJCAI
2003
15 years 4 months ago
A Bayesian Approach to Imitation in Reinforcement Learning
In multiagent environments, forms of social learning such as teaching and imitation have been shown to aid the transfer of knowledge from experts to learners in reinforcement lear...
Bob Price, Craig Boutilier
127
Voted
ECTEL
2007
Springer
15 years 8 months ago
Mobile Social Software with Context Awareness and Data Uncertainty for Technology-Enhanced Learning
Mobile computing technologies and social software have given new challenges to technology-enhanced learning. Simple e-learning system personalization, adaptation and authoring beco...
Yiwei Cao