Why Fuzzy Transform Is Efficient in Large-Scale Prediction Problems: A Theoretical Explanation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F11%3AA12012JF" target="_blank" >RIV/61988987:17610/11:A12012JF - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Why Fuzzy Transform Is Efficient in Large-Scale Prediction Problems: A Theoretical Explanation
Original language description
In this paper, we provide a theoretical explanation for the empirical success of the fuzzy-transform-based methods of speeding up computations.This explanation makes us confident that this fuzzy transform technique can be successfully used in other large-scale prediction problems as well.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Fuzzy Systems
ISSN
1687-7101
e-ISSN
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Volume of the periodical
2011
Issue of the periodical within the volume
1
Country of publishing house
IN - INDIA
Number of pages
5
Pages from-to
28-32
UT code for WoS article
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EID of the result in the Scopus database
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