Markov Models for Pattern Recognition: From Theory to Applications
- ISBN-10
- 1447163087
- ISBN-13
- 9781447163084
- Category
- Computers
- Pages
- 276
- Language
- English
- Published
- 2014-01-14
- Publisher
- Springer Science & Business Media
- Author
- Gernot A. Fink
Description
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.
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