120 search results - page 6 / 24 » Predictive Learning Models for Concept Drift |
PKDD
2005
Springer
14 years 1 months ago
2005
Springer
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
SBIA
2004
Springer
14 years 29 days ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
KDD
2003
ACM
14 years 8 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...
DIS
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Fuel feeding and inhomogeneity of fuel typically cause process fluctuations in the circulating fluidized bed (CFB) boilers. If control systems fail to compensate the ...
SOFSEM
1999
Springer
13 years 12 months ago
1999
Springer
We study learning scenarios in which multiple learners are involved and “nature” imposes some constraints that force the predictions of these learners to behave coherently. Thi...