1303 search results - page 6 / 261 » Adaptation to Drifting Concepts |
COLT
2010
Springer
13 years 5 months ago
2010
Springer
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
CIS
2004
Springer
14 years 1 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...
KDD
2009
ACM
14 years 2 months ago
2009
ACM
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...