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» Generating from a Deep Structure
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ICML
2009
IEEE
14 years 8 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
COLING
2010
13 years 2 months ago
DL Meet FL: A Bidirectional Mapping between Ontologies and Linguistic Knowledge
We present a transformation scheme that mediates between description logics (DL) or RDF-encoded ontologies and type hierarchies in feature logics (FL). The DL-to-FL direction is i...
Hans-Ulrich Krieger, Ulrich Schäfer
IJCAI
2003
13 years 8 months ago
Deep Annotation for Information Integration
The success of the Semantic Web crucially depends on the easy creation, integration and use of semantic data. For this purpose, we consider an integration scenario that defies co...
Siegfried Handschuh, Steffen Staab, Raphael Volz, ...
ICASSP
2011
IEEE
12 years 11 months ago
Deep belief nets for natural language call-routing
This paper considers application of Deep Belief Nets (DBNs) to natural language call routing. DBNs have been successfully applied to a number of tasks, including image, audio and ...
Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabha...
KRMED
2004
13 years 8 months ago
Symbolic modeling of structural relationships in the Foundational Model of Anatomy
The need for a sharable resource that can provide deep anatomical knowledge and support inference for biomedical applications has recently been the driving force in the creation o...
José L. V. Mejino Jr., Cornelius Rosse