Synopsis
Introduction
Application Areas
Part I: Theory
Foundations of Mathematical Statistics
Vector Quantization and Mixture Estimation
Hidden Markov Models
n-Gram Models
Part II: Practice
Computations with Probabilities
Configuration of Hidden Markov Models
Robust Parameter Estimation
Efficient Model Evaluation
Model Adaptation
Integrated Search Methods
Part III: Systems
Speech Recognition
Handwriting Recognition
Analysis of Biological Sequences
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