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98
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JUCS
2008
147views more  JUCS 2008»
15 years 23 days ago
Authoring Courses with Rich Adaptive Sequencing for IMS Learning Design
: This paper describes the process of translating an adaptive sequencing strategy designed using Sequencing Graphs to the semantics of IMS Learning Design. The relevance of this co...
Sergio Gutiérrez Santos, Abelardo Pardo, Ca...
116
Voted
IFIP12
2010
14 years 11 months ago
Rule Learning with Negation: Issues Regarding Effectiveness
: An investigation of rule learning processes that allow the inclusion of negated features is described. The objective is to establish whether the use of negation in inductive rule...
Stephanie Chua, Frans Coenen, Grant Malcolm
90
Voted
IJHIS
2008
84views more  IJHIS 2008»
15 years 24 days ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
IJEB
2007
127views more  IJEB 2007»
15 years 21 days ago
Factors mediating the routinisation of e-learning within a traditional university education environment
Technology-enhanced or Computer Aided Learning (e-learning) can be institutionally integrated and supported by learning management systems or Virtual Learning Environments (VLEs) ...
Shafqat Hameed, John Mellor, Atta Badii, Niyati Pa...
84
Voted
ICPR
2008
IEEE
15 years 7 months ago
Optimal feature weighting for the discrete HMM
We propose a modified discrete HMM that includes a feature weighting discrimination component. We assume that the feature space is partitioned into subspaces and that the relevan...
Oualid Missaoui, Hichem Frigui