1490 search results - page 67 / 298 » Combining Methods for Dynamic Multiple Classifier Systems |
104
Voted
MLDM
2005
Springer
15 years 6 months ago
2005
Springer
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
124
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NCA
2007
IEEE
15 years 6 months ago
2007
IEEE
Increasing traffic and the necessity of stateful analyses impose strong computational requirements on network intrusion detection systems (NIDS), and motivate the need of distrib...
120
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IAT
2006
IEEE
15 years 6 months ago
2006
IEEE
E-Learning is a fast, just-in-time, and non-linear learning process, which is now widely applied in distributed and dynamic environments such as on the World Wide Web. However, it...
134
Voted
IPSN
2003
Springer
15 years 5 months ago
2003
Springer
The study of collaborative, distributed, real-time sensor networks is an emerging research area. Such networks are expected to play an essential role in a number of applications su...
76
Voted
GLOBECOM
2007
IEEE
15 years 4 months ago
2007
IEEE
Transmit beamforming (BF) and receive combining are simple and popular methods for performance enhancement in multiple