161 search results - page 3 / 33 » Learning to Map Ontologies with Neural Network |
NPL
2002
13 years 5 months ago
2002
The learning of complex relationships can be decomposed into several neural networks. The modular organization is determined by prior knowledge of the problem that permits to split...
SEMWEB
2005
Springer
13 years 11 months ago
2005
Springer
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
ICAI
2009
13 years 3 months ago
2009
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...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
ISMIR
2003
Springer
13 years 10 months ago
2003
Springer
We introduce a neural network, known as SONNETMAP, capable of automatic segmentation, learning and retrieval of melodies. SONNET-MAP is a synthesis of the SONNET (Self-Organizing ...