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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| Main Author | |
|---|---|
| Other Authors | |
| Format | eBook |
| Language | English |
| Published |
Cambridge, Mass. :
MIT Press,
c2012.
|
| Series | Adaptive computation and machine learning.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9780262301220 |
| Physical Description | 1 online zdroj (xiv, 261 p.) : ill. |
Cover
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| 100 | 1 | |a Sugiyama, Masashi, |d 1974- | |
| 245 | 1 | 0 | |a Machine learning in non-stationary environments |h [elektronický zdroj] : |b introduction to covariate shift adaptation / |c Masashi Sugiyama and Motoaki Kawanabe. |
| 260 | |a Cambridge, Mass. : |b MIT Press, |c c2012. | ||
| 300 | |a 1 online zdroj (xiv, 261 p.) : |b ill. | ||
| 490 | 1 | |a Adaptive computation and machine learning | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | 8 | |a 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. | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity | ||
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| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Kawanabe, Motoaki. | |
| 776 | 0 | 8 | |i Print version: |a Sugiyama, Masashi, 1974- |t Machine learning in non-stationary environments. |d Cambridge, Mass. : MIT Press, c2012 |z 9780262017091 |w (DLC) 2011032824 |w (OCoLC)752909553 |
| 830 | 0 | |a Adaptive computation and machine learning. | |
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