4947 search results - page 635 / 990 » Learning Module Networks |
164
click to vote
IJCNN
2007
IEEE
16 years 1 months ago
2007
IEEE
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
175
click to vote
SAC
2005
ACM
16 years 9 days ago
2005
ACM
We present a strategy for analyzing large, social small-world graphs, such as those formed by human networks. Our approach brings together ideas from a number of different resear...
172
click to vote
GECCO
2005
Springer
16 years 8 days ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
197
click to vote
GECCO
1999
Springer
15 years 11 months ago
1999
Springer
In this paper, we apply an evolutionary algorithm to learning behavior on a novel, interesting task to explore the general issue of learning e ective behaviors in a complex enviro...
190
click to vote
AIIDE
2006
15 years 8 months ago
2006
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...