565 search results - page 22 / 113 » Learning from Time-Changing Data with Adaptive Windowing |
ACML
2009
Springer
14 years 1 months ago
2009
Springer
We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (...
ICIAP
2005
ACM
14 years 9 months ago
2005
ACM
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
APIN
2002
13 years 9 months ago
2002
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
IDA
2002
Springer
13 years 9 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...
ALT
2009
Springer
14 years 14 days ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...