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|a 025.42
|2 23
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|a UAMI
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|a Drumond, Lucas.
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|a Factorization Models for Multi-Relational Data.
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|a Göttingen :
|b Cuvillier Verlag,
|c 2014.
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|a 1 online resource (137 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|a online resource
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|a Print version record.
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|a Acknowledgements; Abstract; Contents; List of Figures; List of Tables; Notation; Abbreviation; Chapter 1 Introduction; Chapter 2 The Multi-Relational Factorization Problem; Chapter 3 Loss functions for multi-relational learning tasks; Chapter 4 Target-Specific Parametrization of Multi-Relational Models; Chapter 5 Factorization models for Semi-Supervised Classification; Chapter 6 Conclusion; Index; References.
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|a Includes bibliographical references and index.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Automatic classification.
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|a Machine learning.
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|a Classification automatique.
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|a Apprentissage automatique.
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|a Automatic classification
|2 fast
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|a Machine learning
|2 fast
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|i has work:
|a Factorization models for multi-relational data (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGPymqTh48YVm64cqMxTDy
|4 https://id.oclc.org/worldcat/ontology/hasWork
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776 |
0 |
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|i Print version:
|a Drumond, Lucas.
|t Factorization Models for Multi-Relational Data.
|d Göttingen : Cuvillier Verlag, ©2014
|z 9783954047345
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856 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5019212
|z Texto completo
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