1945 search results - page 72 / 389 » Pursuit-Evasion in Models of Complex Networks |
ISNN
2007
Springer
14 years 2 months ago
2007
Springer
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
JMLR
2010
13 years 2 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
SASO
2010
IEEE
13 years 6 months ago
2010
IEEE
Many large-scale distributed systems have been built with great complexity to run Internet services. Due to the heterogeneity and dynamics of complex systems, it is very difficult ...
TMC
2012
11 years 10 months ago
2012
—Characterizing the performance of ad hoc networks is one of the most intricate open challenges; conventional ideas based on information-theoretic techniques and inequalities hav...
WIOPT
2010
IEEE
13 years 6 months ago
2010
IEEE
Scheduling of transmissions is one of the most fundamental problems in the context of wireless networks. In this article, we consider the problem of computing power efficient sched...