Web projektu DAR

Výzkumné centrum
Data - Algoritmy - Rozhodování

Založeno v roce 2005 s podporou MŠMT ČR (projekt 1M0572)

Publikace

Perfect sequences: a Contribution to Structuring Conditional Independence Models.

Typ:

Konferenční příspěvek

Autoři publikace:

Kleiter G. D., Jiroušek R.

Název sborniku:

Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty.

Nakladatel:

Oeconomica

Místo vydání:

Praha

Rok:

2005

Strany:

65-75

Kontaktní osoba:

Prof. Radim Jiroušek, DrSc. (ÚTIA - Oddělení matematické teorie rozhodování)

příloha1:

Perfect Sequences: A Contribution to Structuring Conditional Independence Models [file]

Související akce:

The Eighth Czech-Japan Seminar 2005 on Data Analysis and Decision Making under Uncertainty.

Související publikace:

Proceedings of the 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty.

Anotace:

The representation of conditional independence models by perfect sequences provides an alternative to Bayesian networks and essential graphs. The paper discusses properties of perfect sequences that are relevant with respect to different structures of conditional independence models. Boundary variables (related to terminal nodes in a directed graph representation) are used to find the number of labeled and unlabeled models and to enumerate parts of the model space. Structuring principles are further applied to the evaluation of whole conditional independence models in learning models from data.