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NAACL
2001
13 years 9 months ago
Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
Renaud Lecoeuche
MACE
2009
Springer
230views Communications» more  MACE 2009»
14 years 2 months ago
Combining Learned and Highly-Reactive Management
Learned models of behavior have the disadvantage that they must be retrained after any change in system configuration. Autonomic management methods based upon learned models lose ...
Alva L. Couch, Marc Chiarini
FLAIRS
2001
13 years 9 months ago
User-Agent Interactions in Mixed-Initiative Learning
Mixed-initiative learning integrates complementary human and automated reasoning, taking advantage of their respective reasoning styles and computational strengths in order to sol...
Dorin Marcu, Mihai Boicu, Gheorghe Tecuci
WECWIS
2002
IEEE
112views ECommerce» more  WECWIS 2002»
14 years 24 days ago
Separating Business Process from User Interaction Utilizing Process-Aware XSLT Style-Sheets
In the web context, it is difficult to disentangle presentation from process logic, and sometimes even data is not separate from the presentation. Consequently, it becomes to de...
Karl Aberer, Anwitaman Datta, Zoran Despotovic
ICALT
2005
IEEE
14 years 1 months ago
Goal Oriented Personalisation with SCORM
This paper presents an innovative approach to personalize on-line content to the needs of individual learners. We use a regular educational environment, the BlackboardTM Learning ...
Guillermo Power, Hugh C. Davis, Alexandra I. Crist...