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» Stability and Performances in Biclustering Algorithms
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NN
2006
Springer
108views Neural Networks» more  NN 2006»
13 years 7 months ago
Performance analysis of LVQ algorithms: A statistical physics approach
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Anarta Ghosh, Michael Biehl, Barbara Hammer
WIOPT
2006
IEEE
14 years 1 months ago
Flow-level stability of channel-aware scheduling algorithms
— Channel-aware scheduling strategies provide an effective mechanism for improving the throughput performance in wireless data networks by exploiting channel fluctuations. The p...
Sem C. Borst, Matthieu Jonckheere
AINTEC
2005
Springer
14 years 1 months ago
On the Stability of Server Selection Algorithms Against Network Fluctuations
Abstract. When a set of servers are available for a certain client-server style service, a client selects one of the servers using some server selection algorithm. The best-server ...
Toshiyuki Miyachi, Kenjiro Cho, Yoichi Shinoda
ALT
2010
Springer
13 years 9 months ago
Approximation Stability and Boosting
Stability has been explored to study the performance of learning algorithms in recent years and it has been shown that stability is sufficient for generalization and is sufficient ...
Wei Gao, Zhi-Hua Zhou
PEWASUN
2005
ACM
14 years 1 months ago
Impact of mobility prediction on the temporal stability of MANET clustering algorithms
Scalability issues for routing in mobile ad hoc networks (MANETs) have been typically addressed using hybrid routing schemes operating in a hierarchical network architecture. Seve...
Aravindhan Venkateswaran, Venkatesh Sarangan, Nata...