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Algorithmic Learning in a Random World

Conformal prediction is a valuable new method of machine learning. Conformal predictors are among the most accurate methods of machine learning, and unlike other state-of-the-art methods, they provide information about their own accuracy and reliability. This new monograph integrates mathematical th...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Vovk, Vladimir (Autor), Gammerman, Alex (Autor), Shafer, Glenn (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Conformal prediction
  • Classification with conformal predictors
  • Modifications of conformal predictors
  • Probabilistic prediction I: impossibility results
  • Probabilistic prediction II: Venn predictors
  • Beyond exchangeability
  • On-line compression modeling I: conformal prediction
  • On-line compression modeling II: Venn prediction
  • Perspectives and contrasts.