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 Markov Models for Pattern Recognition: From Theory to Applications
The development of pattern recognition methods on the basis of so-called Markov
models is tightly coupled to the technological progress in the field of automatic
speech recognition. Today, however, Markov chain and hidden Markov models are
also applied in many other fields where the task is the modeling and analysis of
chronologically... |  |  Cluster Analysis for Data Mining and System Identification
Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets... |  |  Neural Networks and Computing: Learning Algorithms and Applications
The area of Neural computing that we shall discuss in this book represents a combination of techniques of classical optimization, statistics, and information theory. Neural network was once widely called artificial neural networks, which represented how the emerging technology was related to artificial intelligence. It once was a topic that... |
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