146 search results - page 2 / 30 » Learning with Neural Networks in the Domain of Graphs |
ICCS
1994
Springer
13 years 9 months ago
1994
Springer
This paper gives a data structure (UDS) for supporting database retrieval, inference and machine learning that attempts to unify and extend previous work in relational databases, ...
ML
2011
ACM
12 years 11 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...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...
AAAI
2006
13 years 6 months ago
2006
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
WIRN
2005
Springer
13 years 10 months ago
2005
Springer
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...