Boolean Factor Analysis by the Expectation-Maximization Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F10%3A00347803" target="_blank" >RIV/67985807:_____/10:00347803 - 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 the Expectation-Maximization Algorithm
Original language description
Compared are e ciencies of two methods for Boolean factor analysis based on expectation-maximization technique. First one is Maximal Causes Analysis proposed by Lucke and Sahani (2008). Second one is Expectation-Maximization Boolean Factor Analysis, introduced here. Last method is strictly based on the general Boolean factor analysis generative model. Comparison is based on so called bars problem benchmark (Foldiak, 1990). Further informational theoretic measure of Boolean factor analysis e ciency is developed. Then it is shown that the e ciency of our Expectation-Maximization Boolean Factor Analysis method is higher then Maximal Causes Analysis in Boolean factor analysis model parameters entirety.
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
2010
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 COMPSTAT 2010
ISBN
978-3-7908-2603-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Physica Verlag
Place of publication
Heidelberg
Event location
Paris
Event date
Aug 22, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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