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  • 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. (en)
  • 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. (cs)
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 (en)
  • Convergence of the Expectation Maximization Algorithm for the Conditionally Independent Model to the Global Maximum (cs)
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 (en)
  • Convergence of the Expectation Maximization Algorithm for the Conditionally Independent Model to the Global Maximum (cs)
skos:notation
  • RIV/68407700:21230/03:03087046!RIV09-MSM-21230___
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  • 602231
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  • RIV/68407700:21230/03:03087046
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  • EM algorithm; Global convergence; ML estimation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [426B3243EB3E]
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  • Praha
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  • Praha
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  • Proceedings of Workshop 2003
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  • Hlaváč, Václav
  • Navara, Mirko
  • Franc, Vojtěch
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number of pages
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  • České vysoké učení technické v Praze
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  • 80-01-02708-2
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  • 21230
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