531 search results - page 32 / 107 » Formal Methods for Networks on Chips |
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
BMCBI
2008
14 years 9 months ago
2008
Background: Metabolic networks present a complex interconnected structure, whose understanding is in general a non-trivial task. Several formal approaches have been developed to s...
CN
2010
14 years 9 months ago
2010
This poster discusses methods to characterize the resilience of networks to a number of challenges and attacks, with the goal of developing quantifiable metrics to determine the de...
IWANN
2007
Springer
15 years 3 months ago
2007
Springer
This paper presents configuration methods for an existing neuromorphic hardware and shows first experimental results. The utilized mixed-signal VLSI1 device implements a highly a...
ISCAS
2003
IEEE
15 years 3 months ago
2003
IEEE
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...