120 search results - page 3 / 24 » Predictive Learning Models for Concept Drift |
CIS
2004
Springer
13 years 11 months ago
2004
Springer
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
ML
1998
ACM
13 years 6 months ago
1998
ACM
We review the application of statistical mechanics methods to the study of online learning of a drifting concept in the limit of large systems. The model where a feed-forward netwo...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
ICDM
2003
IEEE
13 years 11 months ago
2003
IEEE
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...