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» Learning Bounds for Domain Adaptation
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UAIS
2008
155views more  UAIS 2008»
13 years 11 months ago
Adaptive course generation through learning styles representation
This paper presents an approach to automatic course generation and student modeling. The method has been developed during the European funded projects Diogene and Intraserv, focuse...
Enver Sangineto, Nicola Capuano, Matteo Gaeta, Ale...
ATAL
2005
Springer
14 years 4 months ago
An integrated framework for adaptive reasoning about conversation patterns
We present an integrated approach for reasoning about and learning conversation patterns in multiagent communication. The approach is based on the assumption that information abou...
Michael Rovatsos, Felix A. Fischer, Gerhard Wei&sz...
GAMEON
2008
14 years 19 days ago
Rapid Adaptation of Video Game AI
Current approaches to adaptive game AI require either a high quality of utilised domain knowledge, or a large number of adaptation trials. These requirements hamper the goal of rap...
Sander Bakkes, Pieter Spronck, H. Jaap van den Her...
IJCAI
1993
14 years 15 days ago
Consistency Techniques for Numeric CSPs
Many problems can be expressed in terms of a numeric constraint satisfaction problem over finite or continuous domains (numeric CSP). The purpose of this paper is to show that the...
Olivier Lhomme
ICCBR
2005
Springer
14 years 4 months ago
On the Effectiveness of Automatic Case Elicitation in a More Complex Domain
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
Siva N. Kommuri, Jay H. Powell, John D. Hastings