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Learning with partially labeled and interdependent data
This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the classical machine learning framework through learning with interdependent data. The book traces how t...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2015
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| Acceso en línea: | http://cds.cern.ch/record/2042994 |