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ICML
2007
IEEE
14 years 12 months ago
An empirical evaluation of deep architectures on problems with many factors of variation
Recently, several learning algorithms relying on models with deep architectures have been proposed. Though they have demonstrated impressive performance, to date, they have only b...
Hugo Larochelle, Dumitru Erhan, Aaron C. Courville...
OTM
2004
Springer
14 years 4 months ago
Towards a Global Component Architecture for Learning Objects: An Ontology Based Approach
This paper investigates basic research issues that need to be addressed in order to reuse learning objects in a flexible way. We propose an ontology based approach. Our ontology f...
Katrien Verbert, Joris Klerkx, Michael Meire, Jeha...
ESANN
2006
14 years 17 days ago
A multiagent architecture for concurrent reinforcement learning
In this paper we propose a multiagent architecture for implementing concurrent reinforcement learning, an approach where several agents, sharing the same environment, perceptions ...
Victor Uc Cetina
CISIS
2009
IEEE
14 years 3 months ago
Creation and Delivery of Complex Learning Experiences: The ELeGI Approach
The paper presents the main findings of the ELeGI project, namely its learning model and software architecture to support the creation and execution of complex learning processes....
Nicola Capuano, Angelo Gaeta, Agostino Marengo, Se...
ITS
2010
Springer
122views Multimedia» more  ITS 2010»
14 years 4 months ago
DynaLearn: Architecture and Approach for Investigating Conceptual System Knowledge Acquisition
DynaLearn is an Interactive Learning Environment that facilitates a constructive approach to developing a conceptual understanding of how systems work. The software can be put in d...
Bert Bredeweg, Jochem Liem, Floris Linnebank, Ren&...