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Aggiungi al carrelloRustica (tapa blanda). Condizione: New. Condizione sovraccoperta: Nuevo. 1. LIBRO.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 63,30
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Da: Chiron Media, Wallingford, Regno Unito
EUR 61,90
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 63,28
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Da: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germania
Membro dell'associazione: GIAQ
EUR 9,36
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Aggiungi al carrelloHardcover. 248 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 735.
Condizione: New. pp. 276.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 71,71
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 89,83
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Editore: Springer-Verlag New York Inc, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 92,94
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd reprint edition. 289 pages. 9.25x6.10x0.87 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 89,82
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Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 292.
EUR 55,35
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Markov Models for Pattern Recognition | From Theory to Applications | Gernot A. Fink | Taschenbuch | xiii | Englisch | 2016 | Springer | EAN 9781447171331 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Editore: Springer London, Springer London, 2016
ISBN 10: 1447171330 ISBN 13: 9781447171331
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 64,39
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
EUR 29,02
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
Editore: Springer London, Springer London Jan 2014, 2014
ISBN 10: 1447163079 ISBN 13: 9781447163077
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 85,59
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Editore: Springer London, Springer London, 2014
ISBN 10: 1447163079 ISBN 13: 9781447163077
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 90,34
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 145,00
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 166,18
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 135,65
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 60,98
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 75,67
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 450.
Da: Majestic Books, Hounslow, Regno Unito
EUR 88,39
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 276.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 88,65
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 276.
Da: moluna, Greven, Germania
EUR 53,22
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Aggiungi al carrelloCondizione: 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.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 85,59
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.