578 search results - page 13 / 116 » Neural networks for relational learning: an experimental com... |
ML
2012
ACM
12 years 3 months ago
2012
ACM
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
BIBE
2007
IEEE
14 years 1 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
ICANN
2003
Springer
14 years 25 days ago
2003
Springer
Fuzzy relations as representational tools and fuzzy compositional operators as reasoning components, are user in this paper in order to represent knowledge expressed in semantic ru...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
IJON
2008
13 years 7 months ago
2008
Image representation has been a key issue in vision research for many years. In order to represent various local image patterns or objects effectively, it is important to study th...