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2017 | OriginalPaper | Buchkapitel

8. Applications of GI Methods in Selected Fields

verfasst von : Wojciech Wieczorek

Erschienen in: Grammatical Inference

Verlag: Springer International Publishing

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Abstract

The present chapter is a novel contribution to the field of discrete mathematics and bio-informatics by using grammatical inference in the analysis of data. We show how to apply: (1) mathematical modeling in discovery of ordinary generating functions, (2) a decomposition-based approach: (a) to minimize boolean functions (b) to improve combinatorial game performance, and (c) in classification of biological sequences. The overall thrust of the first and third sections included in this chapter is from the author’s research publications. The detailed references are given in the bibliographical section.

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Fußnoten
1
To shift \(A(z)\) to the left by m places, that is, to form the OGF for the sequence \(\langle a_{m}, a_{m+1}, a_{m+2}, \ldots \rangle \) with the first m elements discarded, we subtract the first m terms and then divide by \(z^m\):
$$\begin{aligned} \frac{A(z) - a_0 - \cdots - a_{m-1} z^{m-1}}{z^m} = \sum _{n \ge m} a_n z^{n-m} = \sum _{n \ge 0} a_{n+m} z^n\ . \end{aligned}$$
.
 
2
It is undecidable whether a CFG is ambiguous in the general case, but in many particular cases, like in the instance above, the unambiguity of a grammar may be proved.
 
3
In general, an ‘and’ term of a boolean function in a DNF is allowed to have fewer than n literals.
 
4
For this purpose (and for building the diagram in Fig. 8.3) we used Logic Friday v. 1.1.4, free software for boolean logic optimization, analysis, and synthesis. Logic Friday is developed at the University of California and it also contains the Espresso logic minimizer, which is the state-of-the-art tool for heuristic logic minimization.
 
5
Because we deal with an imbalanced data set (\(|S_+| = 70\), \(|S_-| = 134\)), stratified 2-fold was applied. Stratified k-fold is a variation of k-fold that returns stratified folds: Each set contains approximately the same percentage of samples of each target class as the complete set.
 
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Metadaten
Titel
Applications of GI Methods in Selected Fields
verfasst von
Wojciech Wieczorek
Copyright-Jahr
2017
DOI
https://doi.org/10.1007/978-3-319-46801-3_8