Learning with the Minimum Description Length Principle

This book introduces readers to the minimum description length (MDL) principle and its applications in learning. The MDL is a fundamental principle for inductive inference, which is used in many applications including statistical modeling, pattern recognition and machine learning. At its core, the M...

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Detalhes bibliográficos
Autor principal: Yamanishi, Kenji (Author)
Autor Corporativo: SpringerLink (Online service)
Formato: Recurso Electrónico livro electrónico
Idioma:inglês
Publicado em: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edição:1st ed. 2023.
Assuntos:
Acesso em linha:https://doi.org/10.1007/978-981-99-1790-7
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Sumário:
  • Information and Coding
  • Parameter Estimation
  • Model Selection
  • Latent Variable Model Selection
  • Sequential Prediction
  • MDL Change Detection
  • Continuous Model Selection
  • Extension of Stochastic Complexity
  • Mathematical Preliminaries.