Hidden Markov Model



hidden markov model

(ML 14.4) Hidden Markov Models (HMMs) (part 1)


Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids


Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids


$39.98


Probablistic models are becoming increasingly important in analyzing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analyzing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring ph…

Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)


Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)


$58.26


Reveals How HMMs Can Be Used as General-Purpose Time Series Models Implements all methods in RHidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It also discusses how to employ the …

Fundamentals of Speech Recognition


Fundamentals of Speech Recognition


$68.75


Provides a theoretically sound, technically accurate, and complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine. Covers production, perception, and acoustic-phonetic characterization of the speech signal; signal processing and analysis methods for speech recognition; pattern comparison techniques; speech recognition system design …


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