Description: Markov Models for Pattern Recognition by Gernot A. Fink Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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; Publisher 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. Author Biography 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. Details ISBN 1447171330 ISBN-13 9781447171331 Title Markov Models for Pattern Recognition Author Gernot A. Fink Format Paperback Year 2016 Pages 276 Edition 2nd Publisher Springer London Ltd GE_Item_ID:144270551; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 87.6 USD
Location: Fairfield, Ohio
End Time: 2024-12-28T03:04:09.000Z
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ISBN-13: 9781447171331
Book Title: Markov Models for Pattern Recognition
Number of Pages: Xiii, 276 Pages
Publication Name: Markov Models for Pattern Recognition : from Theory to Applications
Language: English
Publisher: Springer London, The Limited
Item Height: 0.6 in
Publication Year: 2016
Subject: Signals & Signal Processing, Probability & Statistics / Stochastic Processes, Intelligence (Ai) & Semantics, Statistics, Speech & Audio Processing, Computer Vision & Pattern Recognition
Type: Textbook
Item Weight: 157.1 Oz
Subject Area: Mathematics, Computers, Technology & Engineering, Business & Economics
Item Length: 9.2 in
Author: Gernot A. Fink
Series: Advances in Computer Vision and Pattern Recognition Ser.
Item Width: 6.1 in
Format: Trade Paperback