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Publikace

Compositional Models and Maximum Entropy Principle

Typ:
Konferenční příspěvek
Autoři publikace:
Jiroušek R., Malec M.
Název sborniku:
Proceedings of the 6th International Conference on Information and Management Sciences
Nakladatel:
California Polytechnic State University
Místo vydání:
San Luis Obispo
Rok:
2007
ISSN:
1539-2023
Klíčová slova:
entropy, probability, operator of composition, multidimensio
Anotace:
This paper deals with a (relatively) new way of modeling of multidimensional probability distributions, with so called compositional models. It shows that the models forming a special subclass of compositional models, known under the name of perfect sequence models, corresponds with the family of the maximum entropy extensions, which can be computed with the famous Iterative Proportional Fitting Procedure. In addition to this it shows that computation of Shannon entropy for these models is (algorithmically) simple.
 
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