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Title:APROKSIMATIVNO SKLEPANJE V BAYESOVIH MREŽAH
Authors:ID Novak, Jernej (Author)
ID Guid, Nikola (Mentor) More about this mentor... New window
ID Strnad, Damjan (Comentor)
Files:.pdf UNI_Novak_Jernej_2010.pdf (2,60 MB)
MD5: AEB7A803F21329327BA33DA6963CD1C9
PID: 20.500.12556/dkum/80d24d59-05d2-44ac-939c-832c9765341e
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomski nalogi bomo opisali metode direktnega vzorčenja, kamor spadajo algoritem vzorčenja, algoritem vzorčenja zavrnitve in algoritem uteženja verjetnosti. Pojasnili bomo tudi delovanje metode vzorčenja s pomočjo algoritma markovske verige Monte Carlo v eni izmed njenih preprostih oblik, Gibbsovem vzorčevalniku. Algoritme bomo implementirali v predstavitveni aplikaciji, testirali njihovo delovanje na enakih primerih in primerjali dobljene rezultate.
Keywords:Bayesove mreže, aproksimativno sklepanje, direktno vzorčenje, Monte Carlo, markovska veriga
Place of publishing:Maribor
Publisher:[J. Novak]
Year of publishing:2010
PID:20.500.12556/DKUM-16738 New window
UDC:621.316:519.21(043.2)
COBISS.SI-ID:14969366 New window
NUK URN:URN:SI:UM:DK:RBGD5MPD
Publication date in DKUM:06.01.2011
Views:2703
Downloads:196
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:APPROXIMATE INFERENCE IN BAYESIAN NETWORKS
Abstract:In this thesis we will describe methods of direct sampling, namely prior sample, rejection sampling and likelihood weighting. We will also explain how Gibbs sampler, one simple variant of Markov chain Monte Carlo algorithm works. We well implement these algorithms in a representation application, then test how they work on the same examples and compare the results.
Keywords:Bayesian network, approximate inference, direct sampling, Monte Carlo, Markov chain


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