146 search results - page 16 / 30 » Learning with Neural Networks in the Domain of Graphs |
TNN
1998
14 years 9 months ago
1998
Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
101
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DAGM
2007
Springer
15 years 1 months ago
2007
Springer
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
ICANN
2003
Springer
15 years 2 months ago
2003
Springer
We consider the Contextual Recursive Cascade Correlation model (CRCC), a model able to learn contextual mappings in structured domains. We propose a formal characterization of the ...
EDBT
2009
ACM
15 years 2 months ago
2009
ACM
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...