Boolean Factor Analysis by Expectation-Maximization Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00368469" target="_blank" >RIV/67985807:_____/13:00368469 - 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
Boolean Factor Analysis by Expectation-Maximization Method
Original language description
Boolean factor analysis is one of the most efficient methods to reveal and to overcome informational redundancy of high-dimensional binary signals. In the present study, we introduce new Expectation-Maximization method which maximizes the likelihood of Boolean factor analysis solution. Using the so-called bars problem benchmark, we compare efficiencies of the proposed method with Dendritic Inhibition neural network.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Third International Conference on Intelligent Human Computer Interaction IHCI 2011
ISBN
978-3-642-31602-9
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
243-254
Publisher name
Springer
Place of publication
Heidelberg
Event location
Prague
Event date
Aug 29, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312116400021