@InProceedings{franc-Workshop03,
  IS = { zkontrolovano 24 Apr 2003 },
  UPDATE  = { 2003-02-25 },
  author =       {Franc, Vojt{\v e}ch and Hlav{\'a}{\v c}, V{\' a}clav
                  and Navara, Mirko},
  title =        {Convergence of the Expectation Maximization 
     Algorithm for the Conditionally Independent Model to the 
     Global Maximum },
  booktitle =    { Proceedings of Workshop 2003 },
  book_pages =   { 1212 },
  publisher =    { CTU Publishing House },
  address =      { Prague, Czech Republic },
  isbn =         { 80-01-02708-2 },
  year =         { 2003 },
  month =        { February },
  day =          { 10-12 },
  venue =        { Prague, Czech Republic},
  organization = { Czech Technical University in Prague },
  project =      {CTU 0208313},
  pages =        {234-235},
  keywords =     {EM algorithm, ML estimation, Global convergence},
  annote = {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.},
}