1303 search results - page 1 / 261 » Adaptation to Drifting Concepts |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
EPIA
2003
Springer
14 years 26 days 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...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
ICTAI
2007
IEEE
14 years 1 months ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Abstract. This paper proposes a novel solution to spam detection inspired by a model of the adaptive immune system known as the crossregulation model. We report on the testing of a...