120 search results - page 1 / 24 » Predictive Learning Models for Concept Drift |
ALT
1998
Springer
13 years 9 months ago
1998
Springer
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
COLT
2010
Springer
13 years 2 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...
KDD
2007
ACM
14 years 5 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...
EPIA
2003
Springer
13 years 10 months ago
2003
Springer
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...
CBMS
2008
IEEE
13 years 6 months ago
2008
IEEE
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...