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Definitions
Up:
Variable length Markov model
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Towards a more effective
Index
Training a VLMM
Subsections
Definitions
The learning algorithm
General idea
The pruning of nodes
The algorithm
The estimation of observed probabilities
Laplace's law of succession
The maximum likelihood estimate
Lidstone's law of succession
The natural law of succession
Comparison of the probability distributions
The Kullback-Leibler divergence
The Matusita distance
franck 2006-10-01
