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Firstly, the upper bound on the generalization error does not depend on the dimension of the space.
We also give the asymptotic complexity of the optimized algorithm as well as draw a bound on the generalization error of the algorithm.
In addition to belonging to the margin-maximizer group of classifiers (thus providing a bound on the generalization error), SVM distinguish themselves by the use of so-called kernel functions to transform the input data before classification.
In this section, a bound on the generalization error based on the LOO Error is derived.
Given this bound on the generalization error, a low LOO Error in the method proposed here signifies good generalization.
A bound on the Generalization Error of this approach is given in terms of the Leave-One-Out Error.
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A bound on the direction (d_{k}).
A bound on the steps (s_{k}).
This can be seen as an upper bound on how far the generalizations of Skolem sequences can be taken while still hoping to resolve the existence question.
Generalization theory [32] provides a variety of criteria to bound the generalization error of a learning machine, but these approaches often lack practicality.
which gives the bound on.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com