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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 the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Amini, Massih-Reza (Autor), Usunier, Nicolas (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Introduction to learning theory
  • Semi-supervised learning
  • Learning with interdependent data.