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NIPS
2004
15 years 5 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
ECTEL
2010
Springer
15 years 2 months ago
Demands of Modern PLEs and the ROLE Approach
Abstract. We present basic concepts and an outlook on current approaches and techniques of personal learning environments to point out their demands, focussing on recommendations i...
Uwe Kirschenmann, Maren Scheffel, Martin Friedrich...
ICML
2008
IEEE
16 years 4 months ago
Multi-task compressive sensing with Dirichlet process priors
Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
CONTEXT
2007
Springer
15 years 10 months ago
Adaptive and Context-aware Scenarios for Technology Enhanced Learning System based on a Didactical Theory and a Hierarchical Tas
Among the main issues of future technology-enhanced learning systems, we can mention the following ones: the ability to reuse learning resources (learning objects, tools and servic...
Jean-Louis Tetchueng, Serge Garlatti, Sylvain Laub...
PRL
2008
93views more  PRL 2008»
15 years 4 months ago
Learning to learn: From smart machines to intelligent machines
Since its birth, more than five decades ago, one of the biggest challenges of artificial intelligence remained the building of intelligent machines. Despite amazing advancements, ...
Bogdan Raducanu, Jordi Vitrià