161 search results - page 2 / 33 » Learning to Map Ontologies with Neural Network |
AAAI
2008
13 years 7 months ago
2008
SEMWEB
2007
Springer
13 years 11 months ago
2007
Springer
Ontology mapping is to find semantic correspondences between similar elements of different ontologies. It is critical to achieve semantic interoperability in the WWW. This paper su...
IJON
2002
13 years 4 months ago
2002
NEURObjects is a set of C++ library classes for neural network development, exploiting the potentialities of object-oriented design and programming. The main goal of the library c...
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
NCA
2008
IEEE
13 years 4 months ago
2008
IEEE
Motivated by the slow learning properties of multilayer perceptrons (MLPs) which utilize computationally intensive training algorithms, such as the backpropagation learning algorit...