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Computational Learning Theory PAC IID VC Dimension SVM

Computational Learning Theory PAC IID VC Dimension SVM. Marius Bulacu. Kunstmatige Intelligentie / RuG. The Problem. Why does learning work? How do we know that the learned hypothesis h is close to the target function f if we do not know what f is?. answer provided by

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Svm 2 max margin - PowerPoint PPT Presentation

Computational Learning Theory PAC IID VC Dimension SVM