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» Training of Large-Scale Feed-Forward Neural Networks
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JMLR
2012
11 years 7 months ago
Deep Boltzmann Machines as Feed-Forward Hierarchies
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Grégoire Montavon, Mikio L. Braun, Klaus-Ro...
HIS
2003
13 years 6 months ago
Decision Support Systems Using Hybrid Neurocomputing
This paper suggests a decision support system for tactical air combat environment where not much prior information is available about the decision regions. We proposed a combinati...
Cong Tran, Ajith Abraham, Lakhmi C. Jain
SEMWEB
2009
Springer
13 years 11 months ago
Learning to Map Ontologies with Neural Network
In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross trainingâ€...
Yefei Peng, Paul W. Munro, Ming Mao
ICAI
2009
13 years 3 months ago
Learning Mappings with Neural Network
The authors extended the idea of training multiple tasks simultaneously on a partially shared feed forward network. A shared input subvector was added to represented common inputs...
Yefei Peng, Paul W. Munro
JCIT
2008
131views more  JCIT 2008»
13 years 5 months ago
Intelligent Tutoring System: Predicting Students Results Using Neural Networks
In this paper we propose methods to utilize Artificial Neural Networks to obtain knowledge for the management of educational resources. The final evaluations provide us a model th...
E. R. Naganathan, R. Venkatesh, N. Uma Maheswari