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Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation

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Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation - Sugiyama, Masashi, and Kawanabe, Motoaki
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Theory, algorithms, and applications of machine learning techniques to overcome "covariate shift" non-stationarity.

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Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation 2012, MIT Press, Cambridge

ISBN-13: 9780262017091

Hardcover