146 search results - page 20 / 30 » Learning with Neural Networks in the Domain of Graphs |
109
click to vote
GECCO
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. Many multi-robot systems are heterogeneous cooperative systems, systems consisting of different species of robots cooperating with each other to achieve a common goal. T...
76
Voted
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
Computed prediction represents a major shift in learning classifier system research. XCS with computed prediction, based on linear approximators, has been applied so far to functi...
BMCBI
2010
14 years 9 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
CONNECTION
2006
14 years 9 months ago
2006
Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast, biological neural systems have predominantly local, non-symm...
HYBRID
1998
Springer
15 years 1 months ago
1998
Springer
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...