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Parametrische Methoden

In: Maschinelles Lernen - Grundlagen und Anwendungen

Author

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  • Benny Botsch

Abstract

Zusammenfassung Maschinelle Lernverfahren können auf unterschiedliche Art und Weise unterteilt werden. In den Abschn. 1.2 bis 1.5 haben wir uns bereits mit einer Unterteilung von Lernverfahren beschäftigt. Diese Verfahren beschreiben, wie und vor allem welche Daten beim Lernvorgang zur Verfügung stehen. Eine weitere Unterteilung erfolgt in sogenannte parametrische und nichtparametrische Verfahren. Bei parametrischen Lernverfahren stehen vor dem Training die Anzahl der Parameter und die grundsätzliche Struktur fest. Bei nichtparametrischen Lernverfahren wird die Anzahl an Parametern erst zur Laufzeit des Trainings bestimmt. Wir beginnen zunächst mit den parametrischen Lernverfahren.

Suggested Citation

  • Benny Botsch, 2023. "Parametrische Methoden," Springer Books, in: Maschinelles Lernen - Grundlagen und Anwendungen, chapter 0, pages 61-102, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-67277-8_5
    DOI: 10.1007/978-3-662-67277-8_5
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