Missing Data Problems in Machine Learning: Outline and Contributions - Robin Parker
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Saadetis 10-16 tööpäeva jooksul
30-päevane tagastamisõigus
Learning, inference, and prediction in the presence of missing data are pervasive problems in machine learning and statistical data analysis. This thesis focuses on the problems of collaborative prediction with non-random missing data and classification with missing features. We begin by presenting and elaborating on the theory of missing data due to Little and Rubin. We place a particular emphasis on the m ... Täielik kirjeldus
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Kirjeldus
Lisateave
| Autor | Robin Parker |
|---|---|
| Kirjastaja | VDM Verlag Dr. Müller |
| Väljalaskeaasta | 2010 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9783639212280 |