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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F03%3A03087046%21RIV09-MSM-21230___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
This contribution builds on M.I. Schlesinger's results. M.I. Schlesinger discovered that in a special case of a statistical model (conditional independence with two hidden states only) the EM algorithm converges to a global extreme. Under the same assumptions we shortened and simplified the proof of global convergence. We also smoothed away two minor imprecisions in the original proof and learned that they do not affect validity. This contribution builds on M.I. Schlesinger's results. M.I. Schlesinger discovered that in a special case of a statistical model (conditional independence with two hidden states only) the EM algorithm converges to a global extreme. Under the same assumptions we shortened and simplified the proof of global convergence. We also smoothed away two minor imprecisions in the original proof and learned that they do not affect validity. This contribution builds on M.I. Schlesinger's results. M.I. Schlesinger discovered that in a special case of a statistical model (conditional independence with two hidden states only) the EM algorithm converges to a global extreme. Under the same assumptions we shortened and simplified the proof of global convergence. We also smoothed away two minor imprecisions in the original proof and learned that they do not affect validity.
dcterms:title
Convergence of the Expectation Maximization Algorithm for the Conditionally Independent Model to the Global Maximum Convergence of the Expectation Maximization Algorithm for the Conditionally Independent Model to the Global Maximum Convergence of the Expectation Maximization Algorithm for the Conditionally Independent Model to the Global Maximum
skos:prefLabel
Convergence of the Expectation Maximization Algorithm for the Conditionally Independent Model to the Global Maximum Convergence of the Expectation Maximization Algorithm for the Conditionally Independent Model to the Global Maximum Convergence of the Expectation Maximization Algorithm for the Conditionally Independent Model to the Global Maximum
skos:notation
RIV/68407700:21230/03:03087046!RIV09-MSM-21230___
n3:aktivita
n4:V
n3:aktivity
V
n3:dodaniDat
n9:2009
n3:domaciTvurceVysledku
n11:5972558 n11:2053586 n11:1542567
n3:druhVysledku
n13:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
602231
n3:idVysledku
RIV/68407700:21230/03:03087046
n3:jazykVysledku
n15:eng
n3:klicovaSlova
EM algorithm; Global convergence; ML estimation
n3:klicoveSlovo
n8:Global%20convergence n8:ML%20estimation n8:EM%20algorithm
n3:kontrolniKodProRIV
[426B3243EB3E]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Praha
n3:nazevZdroje
Proceedings of Workshop 2003
n3:obor
n14:JD
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n9:2003
n3:tvurceVysledku
Navara, Mirko Franc, Vojtěch Hlaváč, Václav
n3:typAkce
n19:EUR
n3:zahajeniAkce
2003-02-10+01:00
s:numberOfPages
2
n16:hasPublisher
České vysoké učení technické v Praze
n18:isbn
80-01-02708-2
n17:organizacniJednotka
21230