Název: A note on weighted combination methods for probability estimation
Autoři: Sečkárová, Vladimíra
Typ dokumentu: Příspěvky z konference
Konference/Akce: The 3rd International Workshop on Scalable Decision Making: Uncertainty, Imperfection, Deliberation held in conjunction with ECML/PKDD 2013, Prague (CZ), 2013-09-23 / 2013-09-23
Rok: 2013
Jazyk: eng
Abstrakt: To successfully learn from the information provided by avail- able information sources, the choice of automatic method combining them into one aggregate result plays an important role. To respect the reliability in the source’s performance each of them is assigned a weight, often subjectively influenced. To overcome this issue, we briefly describe the method based on Bayesian decision theory and elements of infor- mation theory. In particular we consider discrete-type information, rep- resented by probability mass functions (pmfs) and obtain an aggregate result, which has also form of pmf. This result of decision making pro- cess is found to be a weighted linear combination of available information. Besides the brief description of the novel method, the paper focuses on its comparison with other combination methods. Since we consider the available information and unknown aggregate as pmfs, we mainly focus on the case when the parameter of binomial distribution is of interest and the sources provide appropriate pmfs.
Klíčová slova: binomial distribution; Kerridge inaccuracy; maximum entropy principle; parameter estimation; weighting methods
Číslo projektu: GA13-13502S (CEP), SVV 267315
Poskytovatel projektu: GA ČR, GA UK
Zdrojový dokument: Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013, ISBN 978-80-903834-8-7

Instituce: Ústav teorie informace a automatizace AV ČR (web)
Informace o dostupnosti dokumentu: Dokument je dostupný na externích webových stránkách.
Externí umístění souboru: http://library.utia.cas.cz/separaty/2013/AS/seckarova-a note on weighted combination methods for probability estimation.pdf
Původní záznam: http://hdl.handle.net/11104/0224701

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-156641


Záznam je zařazen do těchto sbírek:
Věda a výzkum > AV ČR > Ústav teorie informace a automatizace
Konferenční materiály > Příspěvky z konference