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» The Cascade-Correlation Learning Architecture
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AGI
2008
14 years 11 months ago
VARIAC: an Autogenous Cognitive Architecture
Learning theory and programs to date are inductively bounded: they can be described as "wind-up toys" which can only learn the kinds of things that their designers envisi...
J. Storrs Hall
AGI
2011
14 years 1 months ago
Extending Cognitive Architectures with Semantic Resources
This paper presents an integrated modeling framework where the learning and knowledge retrieval mechanisms of the ACT-R cognitive architecture are combined with a semantic resource...
Alessandro Oltramari, Christian Lebiere
ICMLA
2009
14 years 7 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
JMLR
2010
106views more  JMLR 2010»
14 years 4 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
ECTEL
2008
Springer
14 years 11 months ago
A Supporting Architecture for Generic Service Integration in IMS Learning Design
Abstract. Learning Design offers the possibility of capturing the process, activities, user organization and resources used in a learning experience. But a wider set of scenarios a...
Luis de la Fuente Valentín, Yongwu Miao, Ab...