578 search results - page 1 / 116 » Neural networks for relational learning: an experimental com... |
ML
2011
ACM
13 years 2 months ago
2011
ACM
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
ECAI
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. We are interested in the relationship between learning efficiency and representation in the case of supervised neural networks for pattern classification trained by conti...
ICANN
2007
Springer
2007
Springer
Estimation of Pointing Poses on Monocular Images with Neural Techniques - An Experimental Comparison
13 years 11 months ago
Poses and gestures are an important part of the nonverbal inter-human communication. In the last years many different methods for estimating poses and gestures in the field of Huma...
WWW
2005
ACM
14 years 8 months ago
2005
ACM
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...