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Model Selection Under Sampling Uncertainty Using Fuzzy Numbers - Bei Wen
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Bei Wen:

Model Selection Under Sampling Uncertainty Using Fuzzy Numbers - Livro de bolso

ISBN: 9783843394642

Paperback, [PU: LAP Lambert Academic Publishing], Model selection is one of the fundamental tasks of scientific inquiry. The most widely used methods such as ROC analysis do not take samp… mais…

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Model Selection Under Sampling Uncertainty Using Fuzzy Numbers
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Model Selection Under Sampling Uncertainty Using Fuzzy Numbers - novo libro

ISBN: 9783843394642

Model selection is one of the fundamental tasks of scientific inquiry. The most widely used methods such as ROC analysis do not take sampling uncertainty into account. To improve the robu… mais…

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Model Selection Under Sampling Uncertainty Using Fuzzy Numbers - Wen, Bei
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Wen, Bei:
Model Selection Under Sampling Uncertainty Using Fuzzy Numbers - Livro de bolso

2011

ISBN: 9783843394642

Erscheinungsdatum: 02/2011, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Model Selection Under Sampling Uncertainty Using Fuzzy Numbers, Titelzusatz: A hybrid method, Aut… mais…

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Model Selection Under Sampling Uncertainty Using Fuzzy Numbers als Buch von Bei Wen - LAP Lambert Acad. Publ.
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Model Selection Under Sampling Uncertainty Using Fuzzy Numbers als Buch von Bei Wen - novo libro

ISBN: 9783843394642

Model Selection Under Sampling Uncertainty Using Fuzzy Numbers ab 49 EURO A hybrid method Model Selection Under Sampling Uncertainty Using Fuzzy Numbers ab 49 EURO A hybrid method Bücher … mais…

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Model Selection Under Sampling Uncertainty Using Fuzzy Numbers - Wen, Bei
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Wen, Bei:
Model Selection Under Sampling Uncertainty Using Fuzzy Numbers - novo libro

2011, ISBN: 3843394644

Buch, gebundene Ausgabe, 104 S., Beilagen: Paperback, Erschienen: 2011 A hybrid method, LAP Lambert Acad. Publ.

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Model Selection Under Sampling Uncertainty Using Fuzzy Numbers

Model selection is one of the fundamental tasks of scientific inquiry. The most widely used methods such as ROC analysis do not take sampling uncertainty into account. To improve the robustness of model selection, the author developed a model selection method capable to incorporate sampling uncertainty. She captured the sampling uncertainty by using the bootstrap technique, and quantified the sampling uncertainty by introducing fuzzy numbers. In the book, the author applied the model selection system to a variety of real-world databases with respect to binary classifications. Among the tested datasets, the method performs in line with the traditional ROC analysis, whereas it provides the fuzzy presentation of ROC curves based on which not only the predictive accuracy but also the degree of sampling uncertainty can be addressed. In addition, the author developed a computer tool implementing the system, which eases the tedious procedures in model selection.

Dados detalhados do livro - Model Selection Under Sampling Uncertainty Using Fuzzy Numbers


EAN (ISBN-13): 9783843394642
ISBN (ISBN-10): 3843394644
Livro de capa dura
Livro de bolso
Ano de publicação: 2011
Editor/Editora: LAP Lambert Acad. Publ.

Livro na base de dados desde 2008-03-16T17:59:07+00:00 (Lisbon)
Página de detalhes modificada pela última vez em 2021-08-28T20:18:18+01:00 (Lisbon)
Número ISBN/EAN: 9783843394642

Número ISBN - Ortografia alternativa:
3-8433-9464-4, 978-3-8433-9464-2
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: bei
Título do livro: selection, numbers one


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