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Markov Models for Pattern Recognition true
By:Gernot A. Fink
Published on 2014-01-14 by Springer Science & Business Media

This 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 the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.

This Book was ranked at 4 by Google Books for keyword Pattern Recognition.

Book ID of Markov Models for Pattern Recognition's Books is 3c-4BAAAQBAJ, Book which was written byGernot A. Finkhave ETAG "K+3gXFuBNTI"

Book which was published by Springer Science & Business Media since 2014-01-14 have ISBNs, ISBN 13 Code is 9781447163084 and ISBN 10 Code is 1447163087

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