Machine learning in non-stationary environments introduction to covariate shift adaptation
This volume focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) changes but the conditional distributions of outputs (answers) is unchanged, and presents machine learning theory algorithms, and applications to overcome this variet...
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| Format: | eBook |
| Language: | English |
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Cambridge, Mass.
MIT Press
2012, c2012
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| Series: | Adaptive computation and machine learning / Adaptive computation and machine learning
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| Collection: | Oxford University Press - Collection details see MPG.ReNa |
| Summary: | This volume focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) changes but the conditional distributions of outputs (answers) is unchanged, and presents machine learning theory algorithms, and applications to overcome this variety of non-stationarity |
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| Physical Description: | xiv, 261 p. ill |
| ISBN: | 9780262301220 |