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» Adaptivity through Unobstrusive Learning
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ECTEL
2010
Springer
13 years 5 months ago
GVIS: A Facility for Adaptively Mashing Up and Representing Open Learner Models
In this article we present an infrastructure for creating mash up and visual representations of the user profile that combine data from different sources. We explored this approach...
Luca Mazzola, Riccardo Mazza
ESANN
2004
13 years 9 months ago
Online policy adaptation for ensemble classifiers
Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
Christos Dimitrakakis, Samy Bengio
ISM
2006
IEEE
113views Multimedia» more  ISM 2006»
14 years 1 months ago
Individualization and Flexibility through Computer Algebra Systems in Virtual Laboratories
Virtual labs enable field specific experiments and open them for collaborative and distributed usage. In order to realize comprehensive laboratory set-ups providing a scientifi...
Sabina Jeschke, Thomas Richter
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 8 months ago
Adapted Pittsburgh classifier system: building accurate strategies in non markovian environments
This paper focuses on the study of the behavior of a genetic algorithm based classifier system, the Adapted Pittsburgh Classifier System (A.P.C.S), on maze type environments con...
Gilles Énée, Mathias Péroumal...
OTM
2004
Springer
14 years 1 months ago
Domain Ontology as a Resource Providing Adaptivity in eLearning
Abstract. This paper presents a knowledge-based approach to eLearning, where the domain ontology plays central role as a resource structuring the learning content and supporting ...
Galia Angelova, Ognian Kalaydjiev, Albena Strupcha...