31 search results - page 2 / 7 » Incremental Learning of Variable Rate Concept Drift |
IDA
2002
Springer
13 years 4 months ago
2002
Springer
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
ICDM
2003
IEEE
13 years 10 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...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
INFORMATICALT
2008
13 years 4 months ago
2008
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
ASC
2008
13 years 5 months ago
2008
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...