Hidden Markov Models, Theory and Applications

Hidden Markov Models, Theory and Applications

Los modelos ocultos de Markov (hidden Markov models, HMM), aunque conocidos durante dčadas, han tenido un gran avance en la actualidad y an͠ se encuentran en etapa de desarrollo. En este libro se presentan aspectos ter̤icos y una variedad de aplicaciones de estos modelos en sn̕tesis y reconocimient...

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Bibliographic Details
Other Authors: Kouemou Guy Leonard, Al-ani Tarik, Lember J<U+00FC>ri, Kuljus Kristi, Koloydenko Alexey et al, InTech
Format: Book
Language:English
Subjects:
T<U+00C9>CNICA ADMINISTRATIVA
INVESTIGACI<U+00D3>N OPERATIVA
MANAGEMENT TECHNIQUES
OPERATIONS RESEARCH
ciencias de la administracin̤
investigacin̤ de operaciones
anl̀isis de Markov
modelos ocultos de Markov
modelado de sistemas dinm̀icos
teora̕ de segmentacin̤
secuencia de parm̀etros del habla
varianza global
caracterizacin̤ ECG
deteccin̤ y clasificacin̤ de seąles volcano-ss̕micas
datos de superaciones de multicontaminantes
datos de expresin̤ de genes microarray
estructura de proten̕as
management sciences
operations research
game theory
Markov analysis
hidden Markov models
dynamic system modelling
segmentation theory
speech parameter sequence
global variance
ECG characterization
volcano-seismic signal detection and classifications
multi-pollutant exceedances data
microarray gene expression data
protein structure
Online Access:Hidden Markov Models, Theory and Applications
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Summary:Los modelos ocultos de Markov (hidden Markov models, HMM), aunque conocidos durante dčadas, han tenido un gran avance en la actualidad y an͠ se encuentran en etapa de desarrollo. En este libro se presentan aspectos ter̤icos y una variedad de aplicaciones de estos modelos en sn̕tesis y reconocimiento del habla, medicina, neurociencias, biologa̕ computacional, bioinformt̀ica, sismologa̕, proteccin̤ ambiental e ingeniera̕.El documento se divide en los siguientes capt̕ulos:History and Theoretical Basics of Hidden Markov Models Hidden Markov Models in Dynamic System Modelling and Diagnosis Theory of Segmentation Classification of Hidden Markov Models: Obtaining Bounds on the Probability of Error and Dealing with Possibly Corrupted Observations Hierarchical Command Recognition Based on Large Margin Hidden Markov Models Modeling of Speech Parameter Sequence Considering Global Variance for HMM-Based Speech Synthesis Using Hidden Markov Models for ECG Characterisation Hidden Markov Models in the Neurosciences Volcano-Seismic Signal Detection and Classification Processing Using Hidden Markov Models - Application to San Cristb̤al and Telica Volcanoes, Nicaragua A Non-Homogeneous Hidden Markov Model for the Analysis of Multi-Pollutant Exceedances Data Continuous Hidden Markov Models for Depth Map-Based Human Activity Recognition Applications of Hidden Markov Models in Microarray Gene Expression Data Application of HMM to the Study of Three-Dimensional Protein Structure Control Theoretic Approach to Platform Optimization using HMM
ISBN:978-953-307-208-1

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