Machine learning in non-stationary environments : introduction to covariate shift adaptation / Masashi Sugiyama and Motoaki Kawanabe.

Machine learning in non-stationary environments : introduction to covariate shift adaptation / Masashi Sugiyama and Motoaki Kawanabe.

9780262301220 (electronic bk.)
0262301229 (electronic bk.)
1280499222
9781280499227
9780262017091
0262017091

Cambridge, Mass. : MIT Press, ©2012.

English

1 online resource (xiv, 261 pages) : illustrations.

9786613594457

Q325.5 .S845 2012eb

006.3/1

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.

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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