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SGAI
2007
Springer
14 years 26 days ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
CONEXT
2005
ACM
13 years 8 months ago
TIE breaking: tunable interdomain egress selection
— The separation of intradomain and interdomain routing has been a key feature of the Internet’s routing architecture from the early days of the ARPAnet. However, the appropria...
Renata Teixeira, Timothy G. Griffin, Mauricio G. C...
ANNPR
2006
Springer
13 years 10 months ago
Visual Classification of Images by Learning Geometric Appearances Through Boosting
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...
Martin Antenreiter, Christian Savu-Krohn, Peter Au...
GI
1998
Springer
13 years 11 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
SENSYS
2003
ACM
14 years 43 min ago
Model-based compression in wireless ad hoc networks
We present a technique for compression of shortest paths routing tables for wireless ad hoc networks. The main characteristic of such networks is that geographic location of nodes...
Milenko Drinic, Darko Kirovski, Miodrag Potkonjak