578 search results - page 31 / 116 » Neural networks for relational learning: an experimental com... |
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
WIRN
2005
Springer
14 years 1 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...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
ESANN
2003
13 years 9 months ago
2003
We consider two layered binary state neural networks in which cellular topographic self-organization occurs under correlational learning. The main result is that for separable inpu...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...