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» Learning Object Context for Adaptive Learning Design
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87
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ICPR
2008
IEEE
16 years 3 months ago
On refining dissimilarity matrices for an improved NN learning
Application-specific dissimilarity functions can be used for learning from a set of objects represented by pairwise dissimilarity matrices in this context. These dissimilarities m...
Elzbieta Pekalska, Robert P. W. Duin
123
Voted
ICANN
2009
Springer
15 years 9 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...
IJIM
2007
174views more  IJIM 2007»
15 years 2 months ago
Contextual Mobile Learning: A Step Further to Mastering Professional Appliances
—In this paper we describe our approach whose objective is to apply MOCOCO concepts to e-learning. After a short presentation of MOCOCO (Mobility, COoperation, Contextua-lisation...
Bertrand T. David, René Chalon, Olivier Cha...
WEBDB
2010
Springer
178views Database» more  WEBDB 2010»
15 years 7 months ago
Using Latent-Structure to Detect Objects on the Web
An important requirement for emerging applications which aim to locate and integrate content distributed over the Web is to identify pages that are relevant for a given domain or ...
Luciano Barbosa, Juliana Freire
130
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ICASSP
2011
IEEE
14 years 6 months ago
Adaptation of source-specific dictionaries in Non-Negative Matrix Factorization for source separation
This paper concerns the adaptation of spectrum dictionaries in audio source separation with supervised learning. Supposing that samples of the audio sources to separate are availa...
Xabier Jaureguiberry, Pierre Leveau, Simon Maller,...