Hybrid Ranking Method for E-Learning Platform Selection: a Flexible Approach

One major advantage of the proposed methodology is that the domain experts get involved in the ontology engineering process without having any previous knowledge on

Therefore, we propose in this paper a ranking approach of e-Learning platforms relying on symbolic values, borrowed from the Qualitative Weight and Sum method (QWS) (?),

TEMPORAL POOLING AND MULTISCALE LEARNING FOR AUTOMATIC ANNOTATION AND RANKING OF MUSIC AUDIO.. Philippe Hamel, Simon Lemieux, Yoshua Bengio and Douglas Eck DIRO, Université

L‟objectif de notre travail est la recherche et l‟isolement de souches bactériennes autochtones productrices de lipases à partir de deux échantillons : le beurre

This is a long term store of information about the learner, organised within a user model. We keep the PUML in a Dropbox file system that has been mapped into the user file space.

Secondly, Glicko assumes that the performance difference follows the logistic distribution (the model is termed the Bradley-Terry model), while TrueSkill uses the Gaussian

The application of neural networks in the creation of adaptive learning systems, the method of cluster analysis as well as the metrics that can be used to create their

The appropriate approach for knowledge representation makes easier the selection of the appropriate educational material satisfying the student’s learning needs.. The