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Pattern Recognition by Matthias Nagel, Matthias Richter, Jürgen Beyerer

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5Parameter free methods

At the beginning of this chapter we will first review what has been done so far. The principal goal is to assign a class to an unknown object given its features and a training set of objects with known features and classes. From a more abstract point of view, one wants to learn some kind of rule, given a finite training sample of special cases. The rule will then be applied to a new situation, where one hopes that the proposed rule has general significance.

This is a two-step process: In the first step, the general rule must be found from specific instantiations, the second step is to apply the (hopefully) general rule to a new specific situation. If necessary, the rule found from the first step will need some intermediate ...

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