Markov Models for Pattern Recognition: From Theory to Applications
Fink, Gernot A.
ISBN 10: 1447171330 ISBN 13: 9781447171331
Editorial: Springer, 2016
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Descripción
Descripción:
2016. Paperback. . . . . . Books ship from the US and Ireland. N° de ref. del artículo V9781447171331
Sinopsis:
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.
Acerca del autor:
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.
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Detalles bibliográficos
Título: Markov Models for Pattern Recognition: From ...
Editorial: Springer
Año de publicación: 2016
Encuadernación: Encuadernación de tapa blanda
Condición: New
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Springer London Aug 2016, 2016
ISBN 10: 1447171330
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ISBN 10: 1447171330
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