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» Learning Models of Macrobehavior in Complex Adaptive Systems
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73
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CE
2005
60views more  CE 2005»
14 years 10 months ago
Personalized e-learning system using Item Response Theory
Personalized service is important on the Internet, especially in Web-based learning. Generally, most personalized systems consider learner preferences, interests, and browsing beh...
Chih-Ming Chen, Hahn-Ming Lee, Ya-Hui Chen
89
Voted
HICSS
2005
IEEE
160views Biometrics» more  HICSS 2005»
15 years 3 months ago
Using Content and Process Scaffolds to Support Collaborative Discourse in Asynchronous Learning Networks
Discourse, a form of collaborative learning [44], is one of the most widely used methods of teaching and learning in the online environment. Particularly in large courses, discour...
I. Wong-Bushby, Starr Roxanne Hiltz, Michael Biebe...
88
Voted
ICCS
1993
Springer
15 years 2 months ago
Towards Domain-Independent Machine Intelligence
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Robert Levinson
SEMWEB
2007
Springer
15 years 4 months ago
Cultural Adaptivity for the Semantic Web
Our research explores the possibilities for factoring culture into user models, working towards cultural adaptivity in the semantic web. The aim is to represent the user’s positi...
Katharina Reinecke
97
Voted
ICTAI
2007
IEEE
15 years 4 months ago
CompoNet: Programmatically Embedding Neural Networks into AI Applications as Software Components
The provision of embedding neural networks into software applications can enable variety of Artificial Intelligence systems for individual users as well as organizations. Previous...
Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young...