Markov Models for Pattern Recognition is popular PDF and ePub book, written by Gernot A. Fink in 2014-01-14, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Markov Models for Pattern Recognition can be Read Online from any device for your convenience.
Markov Models for Pattern Recognition Book PDF Summary
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.
Detail Book of Markov Models for Pattern Recognition PDF
- Author : Gernot A. Fink
- Release : 14 January 2014
- Publisher : Springer Science & Business Media
- ISBN : 9781447163084
- Genre : Computers
- Total Page : 275 pages
- Language : English
- PDF File Size : 16,7 Mb
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