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» Learning Algorithms for Domain Adaptation
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AIED
2009
Springer
15 years 6 months ago
Toward Scenario Adaptation for Learning
Abstract. This paper presents a methodology for automatically customizing a scenario to suit a learner’s abilities, needs, or goals. Training scenarios are often utilized to give...
James Niehaus, Mark Riedl
ICCSA
2004
Springer
15 years 5 months ago
Task Modeling in Computer Supported Collaborative Learning Environments to Adapt to Mobile Computing
Using the new wireless technologies, mobile devices with small displays (handhelds, PDAs, mobile phones) are present in many environments. We are interested in the effective use of...
Ana I. Molina, Miguel A. Redondo, Manuel Ortega
INLG
2010
Springer
14 years 9 months ago
Hierarchical Reinforcement Learning for Adaptive Text Generation
We present a novel approach to natural language generation (NLG) that applies hierarchical reinforcement learning to text generation in the wayfinding domain. Our approach aims to...
Nina Dethlefs, Heriberto Cuayáhuitl
ATAL
2008
Springer
15 years 1 months ago
A few good agents: multi-agent social learning
In this paper, we investigate multi-agent learning (MAL) in a multi-agent resource selection problem (MARS) in which a large group of agents are competing for common resources. Si...
Jean Oh, Stephen F. Smith
ICASSP
2011
IEEE
14 years 3 months ago
Exploiting query click logs for utterance domain detection in spoken language understanding
In this paper, we describe methods to exploit search queries mined from search engine query logs to improve domain detection in spoken language understanding. We propose extending...
Dilek Hakkani-Tür, Larry Heck, Gökhan T&...