Mixtures of Product Components versus Mixtures of Dependence Trees

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00452538" target="_blank" >RIV/67985556:_____/15:00452538 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-26393-9_22" target="_blank" >http://dx.doi.org/10.1007/978-3-319-26393-9_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-26393-9_22" target="_blank" >10.1007/978-3-319-26393-9_22</a>

Result language
angličtina
Original language name
Mixtures of Product Components versus Mixtures of Dependence Trees
Original language description
Mixtures of product components assume independence of variables given the index of the component. They can be efficiently estimated from data by means of EM algorithm and have some other useful properties. On the other hand, by considering mixtures of dependence trees, we can explicitly describe the statistical relationship between pairs of variables at the level of individual components and therefore approximation power of the resulting mixture may essentially increase. However, we have found in application to classification of numerals that both models perform comparably and the contribution of dependence-tree structures to the log-likelihood criterion decreases in the course of EM iterations. Thus the optimal estimate of dependence-tree mixture tends to reduce to a simple product mixture model.
Czech name
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Czech description
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Project
<a href="/en/project/GA14-02652S" target="_blank" >GA14-02652S: Advanced measurement of material appearance</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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