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Markov Models Pattern Recognition by Fink Gernot (34 results)
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US$ 33.56
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Add to basketRustica (tapa blanda). Condition: New. Dust Jacket Condition: Nuevo. 1. LIBRO.
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Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)
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Markov Models for Pattern Recognition : From Theory to Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. pp. 276.
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
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Markov models for pattern recognition : from theory to applications.
Published by Berlin, Springer, 2008
Language: English
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
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Add to basketHardcover. Condition: Wie neu. 248 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 735.
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Markov Models for Pattern Recognition : From Theory to Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Markov Models for Pattern Recognition: From Theory to Applications (Advances in Computer Vision and Pattern Recognition)
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Markov Models for Pattern Recognition : From Theory to Applications
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Markov Models for Pattern Recognition: From Theory to Applications
Published by Springer-Verlag New York Inc, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
Language: English
US$ 106.77
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Add to basketPaperback. Condition: Brand New. 2nd reprint edition. 289 pages. 9.25x6.10x0.87 inches. In Stock.
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Condition: New. pp. 292.
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Markov Models for Pattern Recognition
Published by Springer London, Springer London Aug 2016, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.
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Markov Models for Pattern Recognition : From Theory to Applications
Published by Springer London, Springer London, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
Language: English
US$ 77.18
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Markov Models for Pattern Recognition
Published by Springer London, Springer London Jan 2014, 2014
ISBN 10: 1447163079 ISBN 13: 9781447163077
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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US$ 102.60
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Add to basketBuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 292 pp. Englisch.
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Markov Models for Pattern Recognition : From Theory to Applications
Published by Springer London, Springer London, 2014
ISBN 10: 1447163079 ISBN 13: 9781447163077
Language: English
US$ 108.29
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Markov Models for Pattern Recognition : From Theory to Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 172.13
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US$ 161.03
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US$ 192.07
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Markov Models for Pattern Recognition
Published by Springer London Aug 2016, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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US$ 73.10
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 292 pp. Englisch.
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Markov Models for Pattern Recognition: From Theory to Applications
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 89.83
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 450.
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Add to basketCondition: New. Print on Demand pp. 276.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Thoroughly revised, updated and expanded new editionExamines pattern recognition systems from the perspective of Markov models, demonstrating how the models can be used in a range of applicationsPlaces special emphasis on practical algorith.
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Markov Models for Pattern Recognition
Published by Springer London Jan 2014, 2014
ISBN 10: 1447163079 ISBN 13: 9781447163077
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 102.60
Convert currencyUS$ 26.77 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 292 pp. Englisch.
