161 search results - page 10 / 33 » Learning to Map Ontologies with Neural Network |
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with c...
DEXAW
2007
IEEE
13 years 11 months ago
2007
IEEE
System interoperability is a well known issue, especially for heterogeneous information systems, where ontologybased representations may support automatic and usertransparent inte...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
ICANN
2003
Springer
14 years 18 days ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
EELC
2006
13 years 11 months ago
2006
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...