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Algorithmisches Lernen
Paperback
Series: Xleitfäden Der Informatik
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ISBN10: 3519029464
ISBN13: 9783519029465
Publisher: Springer Nature
Published: Mar 16 2000
Pages: 196
Weight: 0.75
Height: 0.44 Width: 6.69 Depth: 9.61
Language: German
ISBN13: 9783519029465
Publisher: Springer Nature
Published: Mar 16 2000
Pages: 196
Weight: 0.75
Height: 0.44 Width: 6.69 Depth: 9.61
Language: German
Das Buch gibt eine Einführung in das Gebiet des Algorithmischen Lernens, d. h. in den Bereich des Maschinellen Lernens, der methodische und komplexitätstheoretische Aspekte betont. Zunächst wird die Frage geklärt, was überhaupt Lernen bedeutet und wann man davon reden kann, eine Maschine habe gelernt. Anschlie end wird einerseits untersucht, welche Objekte in diesem Sinne lernbar sind, andererseits werden auch die Grenzen aufgezeigt. Es werden strukturelle Resultate und algorithmische Entwurfsprinzipien für diese Verfahren dargestellt. Dabei geht es darum, zu bestimmen, wieviel Information zum Lernen notwendig bzw. ausreichend ist. Darüber hinaus werden auch Verfahren für konkrete Aufgaben vorgestellt. Au erdem werden Methoden präsentiert, um unzureichende Lernverfahren zu verbessern und Störungen in der zum Lernen benutzten Information herauszufiltern. Übungen ermöglichen die Überprüfung des richtigen Verständnisses beim Lesen des Buches.
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