269 search results - page 7 / 54 » A Minimax Method for Learning Functional Networks |
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
ICONIP
2008
13 years 9 months ago
2008
Practical Recurrent Learning (PRL) has been proposed as a simple learning algorithm for recurrent neural networks[1][2]. This algorithm enables learning with practical order O(n2 )...
IPMI
2011
Springer
12 years 11 months ago
2011
Springer
In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a lo...
GECCO
2005
Springer
14 years 29 days ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
IMC
2010
ACM
13 years 5 months ago
2010
ACM
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...