Markov Models for Pattern Recognition

Gernot A. Fink

ISBN 10: 1447171330 / ISBN 13: 9781447171331

Edité par Springer London Aug 2016, 2016

A propos de cet article

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. N° de réf. du vendeur 9781447171331

Détails bibliographiques

Titre : Markov Models for Pattern Recognition

Éditeur : Springer London Aug 2016

Date d'édition : 2016

Reliure : Taschenbuch

Etat : Neu