565 search results - page 22 / 113 » Learning from Time-Changing Data with Adaptive Windowing |
116
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ACML
2009
Springer
15 years 4 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
15 years 11 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...
103
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APIN
2002
14 years 11 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
14 years 11 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...
77
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ALT
2009
Springer
15 years 3 months 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...