424 search results - page 19 / 85 » Mining data streams with periodically changing distributions |
SADM
2010
13 years 7 months ago
2010
: This paper proposes twin prototype support vector machine (TVM), a constant space and sublinear time support vector machine (SVM) algorithm for online learning. TVM achieves its ...
ICDCS
2000
IEEE
14 years 1 months ago
2000
IEEE
For transmission of continuous media (CM) streams such as audio and video over the Internet, a critical issue is that periodic network overloads cause bursty packet losses. Studie...
KDD
2009
ACM
14 years 3 months ago
2009
ACM
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
HOTOS
1999
IEEE
14 years 1 months ago
1999
IEEE
Abstract--End-to-end connectivity is growing increasingly diverse, with orders of magnitude differences in characteristics throughout the network. At the same time, most applicatio...
INFOCOM
2010
IEEE
13 years 7 months ago
2010
IEEE
— Quantiles are very useful in characterizing the data distribution of an evolving dataset in the process of data mining or network monitoring. The method of Stochastic Approxima...