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All main topics / Telematik / Computational Intelligence / Computational Intelligence VO (442.070 TUGraz 2014)

State Cover's theorem

Given a set of training data that is not linearely separable, one can with high probability transform it into a training set that is linearly separable by projecting it into a higher dimension space via non-linear transformation.

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Source: CI Teil 1 Lecture 5

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Flashcard info:

Author: Sepp Samuel

Main topic: Telematik

Topic: Computational Intelligence

School / Univ.: TU Graz

Published: 02.07.2014

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