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DISPONIBILITÀ IMMEDIATA
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Libro
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- Genere: Libro
- Lingua: Inglese
- Editore: Springer
- Pubblicazione: 08/2016
- Edizione: Softcover reprint of the original 2nd ed. 2014
Markov Models for Pattern Recognition
fink gernot a.
61,98 €
58,88 €
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TRAMA
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.SOMMARIO
Introduction.- Application Areas.- Part I: Theory.- Foundations of Mathematical Statistics.- Vector Quantization and Mixture Estimation.- Hidden Markov Models.- N-Gram Models.- Part II: Practice.- Computations with Probabilities.- Configuration of Hidden Markov Models.- Robust Parameter Estimation.- Efficient Model Evaluation.- Model Adaptation.- Integrated Search Methods.- Part III: Systems.- Speech Recognition.- Handwriting Recognition.- Analysis of Biological Sequences.AUTORE
Prof. Dr.-Ing. Gernot A. Fink is Head of the Pattern Recognition Research Group at TU Dortmund University, Dortmund, Germany. His other publications include the Springer title Markov Models for Handwriting Recognition.ALTRE INFORMAZIONI
- Condizione: Nuovo
- ISBN: 9781447171331
- Collana: Advances in Computer Vision and Pattern Recognition
- Dimensioni: 235 x 155 mm
- Formato: Brossura
- Illustration Notes: XIII, 276 p. 45 illus.
- Pagine Arabe: 276
- Pagine Romane: xiii