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Markov Models for Pattern Recognition 87 Dale -- Chapter 13

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Dale -- Chapter 13

Die Formen der Ansprache63

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denen der Einzelne entgegentreten muss

Markov Models for Pattern Recognition 87 Dale -- Chapter 13This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi training procedure, a theoretical derivation of the perplexity measure and coverage of multi pass decoding based on n best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces

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