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 ...
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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.
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Add this copy of Markov Models for Pattern Recognition: From Theory to to cart. $61.04, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2016 by Springer.
Edition:
2nd Softcover Reprint of the Original 2nd 2014 edition
Publisher:
Springer
Published:
2016
Language:
English
Alibris ID:
17986400804
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New. Trade paperback (US). Glued binding. 276 p. Contains: Unspecified, Illustrations, black & white. Advances in Computer Vision and Pattern Recognition. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Add this copy of Markov Models for Pattern Recognition: From Theory to to cart. $61.05, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2016 by Springer.
Edition:
2nd Softcover Reprint of the Original 2nd 2014 edition
Publisher:
Springer
Published:
2016
Language:
English
Alibris ID:
16056878874
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Standard Shipping: $4.99
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New. Print on demand Trade paperback (US). Glued binding. 276 p. Contains: Unspecified, Illustrations, black & white. Advances in Computer Vision and Pattern Recognition.
Add this copy of Markov Models for Pattern Recognition: From Theory to to cart. $87.79, new condition, Sold by Ria Christie Books rated 5.0 out of 5 stars, ships from Uxbridge, MIDDLESEX, UNITED KINGDOM, published 2016 by Springer.
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Add this copy of Markov Models for Pattern Recognition: From Theory to to cart. $128.80, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2016 by Springer.
