Markov Models for Pattern Recognition : From Theory to Applications

Gernot A. Fink

ISBN 10: 1447163079 / ISBN 13: 9781447163077

Verlag: Springer London, Springer London, 2014

Beschreibung

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. Bestandsnummer des Verkäufers 9781447163077

Bibliografische Details

Titel: Markov Models for Pattern Recognition : From...

Verlag: Springer London, Springer London

Erscheinungsdatum: 2014

Einband: Buch

Zustand: Neu

Auflage: 2. Auflage

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From the book reviews:

“The book is highly appropriate for researchers and practitioners dealing with pattern recognition in general and speech, character and handwriting recognition sequences, in particular.” (Catalin Stoean, zbMATH 1307.68001, 2015)