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» Dynamics of Random Early Detection
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AIME
1997
Springer
13 years 8 months ago
Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
William Rodman Shankle, Subramani Mani, Michael J....
KDD
1999
ACM
217views Data Mining» more  KDD 1999»
13 years 8 months ago
An Efficient Algorithm to Update Large Itemsets with Early Pruning
We present an efficient algorithm (UWEP) for updating large itemsets when new transactions are added to the set of old transactions. UWEP employs a dynamic lookahead strategy in u...
Necip Fazil Ayan, Abdullah Uz Tansel, M. Erol Arku...
ISCAS
2005
IEEE
119views Hardware» more  ISCAS 2005»
13 years 9 months ago
Stroboscopic model and bifurcations in TCP/RED
Abstract— In this paper, we derive a simple first-order discretetime model for the Transmission Control Protocol (TCP) with Random Early Detection (RED). We view the network as ...
Mingjian Liu, Hui Zhang, Ljiljana Trajkovic
CORR
2011
Springer
205views Education» more  CORR 2011»
12 years 11 months ago
Random Walk on Directed Dynamic Graphs
Dynamic graphs have emerged as an appropriate model to capture the changing nature of many modern networks, such as peer-to-peer overlays and mobile ad hoc networks. Most of the re...
Oksana Denysyuk, Luis Rodrigues
IEICET
2007
142views more  IEICET 2007»
13 years 4 months ago
Detecting Unknown Worms Using Randomness Check
From the appearance of CodeRed and SQL Slammer worm, we have learned that the early detection of worm epidemics is important to reduce the damage caused by their outbreak. One prom...
Hyundo Park, Heejo Lee, Hyogon Kim