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» The Cascade-Correlation Learning Architecture
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AGI
2008
13 years 9 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
12 years 11 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
13 years 5 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»
13 years 2 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
13 years 9 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...