Machine learning in non-stationary environments introduction to covariate shift adaptation

• Main Author: Sugiyama, Masashi, 1974-
• Other Authors: Kawanabe, Motoaki.
• Format: eBook
• Language: English
• Published: Cambridge, Mass. : MIT Press, c2012.
• Series: Adaptive computation and machine learning.
• Subjects: Machine learning.; elektronické knihy; electronic books
• ISBN: 9780262301220
• Physical Description: 1 online zdroj (xiv, 261 p.) : ill.
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity

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.