889 search results - page 72 / 178 » Observational Learning in Random Networks |
IEEEIAS
2008
IEEE
14 years 3 months ago
2008
IEEE
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
ICS
2007
Tsinghua U.
14 years 3 months ago
2007
Tsinghua U.
Observing the workload on a computer system during a short (but not too short) time interval may lead to distributions that are significantly different from those that would be o...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
CISISSPAIN
2011
13 years 24 days ago
2011
In last decades there have been many proposals from the machine learning community in the intrusion detection field. One of the main problems that Intrusion Detection Systems (IDSs...
ISCAS
1994
IEEE
14 years 1 months ago
1994
IEEE
In this paper, we propose a new approach of solving the stereopsis problem with a discrete-time cellular neural network(DTCNN) where each node has connectionsonly with its local n...