Journal
PATTERN RECOGNITION
Volume 45, Issue 1, Pages 521-530Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2011.06.019
Keywords
Dataset shift; Data fracture; Changing environments; Differing training and test populations; Covariate shift; Sample selection bias; Non-stationary distributions
Funding
- Ministerio de Educacion y Ciencia of the Spanish Government
- Spanish Government [TIN2008-06681-006-01]
- National Science Foundation (NSF) [ECCS0926170]
- [DPI2009-08424]
- [TEC2008-01348/TEC]
- Directorate For Engineering [0926170] Funding Source: National Science Foundation
Ask authors/readers for more resources
The field of dataset shift has received a growing amount of interest in the last few years. The fact that most real-world applications have to cope with some form of shift makes its study highly relevant. The literature on the topic is mostly scattered, and different authors use different names to refer to the same concepts, or use the same name for different concepts. With this work, we attempt to present a unifying framework through the review and comparison of some of the most important works in the literature. (C) 2011 Elsevier Ltd. All rights reserved.
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