Viterbi Algorithm : Dynamic Programming, Algorithm, Likelihood Function, Markov Information Source, Hidden Markov Model, Information Theory, Error Detection and Correction

Language: English

Published by Omniscriptum, 2010

6130355122 / 9786130355128

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nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states called the Viterbi path that results in a sequence of observed events, especially in the context of Markov information sources, and more generally, hidden Markov models. The forward algorithm is a closely related algorithm for computing the probability of a sequence of observed events. These algorithms belong to the realm of information theory. The algorithm makes a number of assumptions. First, both the observed events and hidden events must be in a sequence. This sequence often corresponds to time. Second, these two sequences need to be aligned, and an instance of an observed event needs to correspond to exactly one instance of a hidden event. Third, computing the most likely hidden sequence up to a certain point t must depend only on the observed event at point t, and the most likely sequence at point t 1. These assumptions are all satisfied in a first-order hidden Markov model.…

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Title
Viterbi Algorithm : Dynamic Programming, Algorithm, Likelihood Function, Markov Information Source, Hidden Markov Model, Information Theory, Error Detection and Correction
Author
Lambert M. Surhone
Publisher
Omniscriptum
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6130355122
ISBN 13
9786130355128
Item weight
203 grams
Dimensions
220x150x8 mm

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