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ICTAI
2009
IEEE
15 years 10 months ago
Probabilistic Neural Logic Network Learning: Taking Cues from Neuro-Cognitive Processes
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
Henry Wai Kit Chia, Chew Lim Tan, Sam Yuan Sung
HICSS
2008
IEEE
124views Biometrics» more  HICSS 2008»
15 years 10 months ago
Learning Object Development and Repository Design for Digital Government Instruction
As the field of e-government expands and grows, the number of academic courses, professional workshops, online courses, and continuing education opportunities in this field also i...
Nathan Botts, Benjamin L. Schooley, Thomas A. Hora...
ICASSP
2007
IEEE
15 years 10 months ago
A New Robust Frequency Domain Echo Canceller with Closed-Loop Learning Rate Adaptation
One of the main dif culties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. Several methods...
Jean-Marc Valin, Iain B. Collings
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 10 months ago
Cascaded generic XCS to learn about reminding preferences
We are developing an adaptive reminding system, which learns when and how to present notifications. In this paper, we focus on our XCS-based model, composed of two cascaded sets ...
Nadine Richard, Samuel Tardieu, Seiji Yamada
ICALT
2003
IEEE
15 years 9 months ago
An Instructional Framework Supporting Personalized Learning on the Web
In this paper an instructional framework is proposed for supporting personalised learning in the context of webbased adaptive educational hypermedia systems. A learning-focused ap...
Kyparisia A. Papanikolaou, Maria Grigoriadou