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KES
2008
Springer
15 years 4 months ago
Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis
In this paper, the Fuzzy Min-Max (FMM) neural network along with two modified FMM models are used for tackling medical diagnostic problems. The original FMM network establishes hyp...
Anas Quteishat, Chee Peng Lim
JSAC
2006
106views more  JSAC 2006»
15 years 4 months ago
Study of BGP Peering Session Attacks and Their Impacts on Routing Performance
We present a detailed study of the potential impact of BGP peering session attacks and the resulting exploitation of Route Flap Damping (RFD) that cause network-wide routing disrup...
Kotikalapudi Sriram, Doug Montgomery, Oliver Borch...
MTA
2008
179views more  MTA 2008»
15 years 4 months ago
Explicit semantic events detection and development of realistic applications for broadcasting baseball videos
This paper presents a framework that explicitly detects events in broadcasting baseball videos and facilitates the development of many practical applications. Three phases of contr...
Wei-Ta Chu, Ja-Ling Wu
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 4 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
PE
2008
Springer
143views Optimization» more  PE 2008»
15 years 4 months ago
Improving the performance of large interconnection networks using congestion-control mechanisms
As the size of parallel computers increases, as well as the number of sources per router node, congestion inside the interconnection network rises significantly. In such systems, ...
José Miguel-Alonso, Cruz Izu, José-&...