45 search results - page 4 / 9 » Stream weight tuning in dynamic Bayesian networks |
CISIS
2009
IEEE
14 years 4 months ago
2009
IEEE
Bayesian networks are indispensable for determining the probability of events which are influenced by various components. Bayesian probabilities encode degrees of belief about ce...
CISIS
2009
IEEE
14 years 4 months ago
2009
IEEE
We discuss dynamic parameter tuning in wide-area data transfers for efficient utilization of available network capacity and optimized end-to-end application performance. Impacts ...
KDD
2003
ACM
14 years 10 months ago
2003
ACM
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
VLSID
2002
IEEE
14 years 10 months ago
2002
IEEE
Switching activity estimation is a crucial step in estimating dynamic power consumption in CMOS circuits. In [1], we proposed a new switching probability model based on Bayesian N...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...