1521 search results - page 12 / 305 » A learning model for oscillatory networks |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
RECOMB
2012
Springer
11 years 9 months ago
2012
Springer
Abstract. Since the first emergence of protein-protein interaction networks, more than a decade ago, they have been viewed as static scaffolds of the signaling-regulatory events ...
IJON
2002
13 years 7 months ago
2002
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...
PERCOM
2007
ACM
14 years 7 months ago
2007
ACM
ESANN
2006
13 years 8 months ago
2006
Due to the various and dynamic nature of stimuli, decisions of intelligent agents must rely on the coordination of complex cognitive systems. This paper precisely focusses on a gen...