Hidden Markov Models [skrytý Markovův model]

topical
Terms

skryté Markovovy modely

Persistent link   https://www.medvik.cz/link/D000098448
Definition

Finite learnable stochastic models often used in MACHINE LEARNING consisting of two processes: a MARKOV CHAIN and an event observed and analyzed in a state unknown or hidden to the observer. Hidden Markov Models are often used in BIOINFORMATICS, time series analysis and speech and handwriting recognition.

DUI
D000098448 MeSH Browser
CUI
M000766686
Previous indexing
Algorithms (2011-2024); Markov Chains (1990-2024)
History note
2025
Public note
2025

Allowable subheadings

CL
classification
EC
economics
ES
ethics
HI
history
LJ
legislation & jurisprudence
ST
standards
SN
statistics & numerical data
SD
supply & distribution
TD
trends

E Analytical, Diagnostic and Therapeutic Techniques and Equipment
E05 Investigative Techniques 209
E05.318 Epidemiologic Methods 1 030
E05.318.740 Statistics as Topic 13 095
E05.318.740.600 Probability 275
E05.318.740.600.200 Bayes Theorem 267
E05.318.740.600.300 Hidden Markov Models
E05.318.740.600.400 Likelihood Functions 86
E05.318.740.600.500 Markov Chains 49
E05.318.740.600.600 Odds Ratio 278
E05.318.740.600.650 Position-Specific Scoring Matrices 2
E05.318.740.600.675 Propensity Score 86
E05.318.740.600.700 Proportional Hazards Models 476
E05.318.740.600.800 Risk 2 705
E05.318.740.600.900 Uncertainty 85
E05.318.740.996 Stochastic Processes 117
E05.318.740.996.250 Hidden Markov Models
E05.318.740.996.500 Markov Chains 49

G Phenomena and Processes
G17 Mathematical Concepts 66
G17.035 Algorithms 2 709
G17.035.125 Adaptive Algorithms
G17.035.250 Artificial Intelligence 433
G17.035.297 Autoencoder
G17.035.344 Backtracking Algorithms
G17.035.438 Boosting Machine Learning Algorithms
G17.035.485 Classification Algorithms
G17.035.509 Clustering Algorithms
G17.035.521 Compression Algorithms
G17.035.527 Detection Algorithms
G17.035.532 Dimensionality Reduction
G17.035.556 Dynamic Programming
G17.035.579 Generative Adversarial Networks
G17.035.602 Genetic Algorithms
G17.035.614 Hidden Markov Models
G17.035.625 Latent Class Analysis 10
G17.035.672 Machine Learning Algorithms
G17.035.684 Multiple-Instance Learning Algorithms
G17.035.696 Parallel Algorithms
G17.035.719 Particle Swarm Optimization
G17.035.766 Prediction Algorithms
G17.830 Stochastic Processes 117
G17.830.250 Hidden Markov Models
G17.830.500 Markov Chains 49

L Information Science
L01 Information Science 166
L01.224 Computing Methodologies 159
L01.224.050 Algorithms 2 709
L01.224.050.188 Adaptive Algorithms
L01.224.050.375 Artificial Intelligence 433
L01.224.050.395 Autoencoder
L01.224.050.414 Backtracking Algorithms
L01.224.050.453 Boosting Machine Learning Algorithms
L01.224.050.531 Cellular Automata
L01.224.050.570 Classification Algorithms
L01.224.050.590 Clustering Algorithms
L01.224.050.600 Compression Algorithms
L01.224.050.605 Detection Algorithms
L01.224.050.609 Dimensionality Reduction
L01.224.050.629 Dynamic Programming
L01.224.050.648 Generative Adversarial Networks
L01.224.050.668 Genetic Algorithms
L01.224.050.678 Hidden Markov Models
L01.224.050.687 Latent Class Analysis 10
L01.224.050.726 Machine Learning Algorithms
L01.224.050.736 Multiple-Instance Learning Algorithms
L01.224.050.746 Parallel Algorithms
L01.224.050.765 Particle Swarm Optimization
L01.224.050.804 Prediction Algorithms

N Health Care
N05 Health Care Quality, Access, and Evaluation 687
N05.715 Quality of Health Care 2 496
N05.715.360 Health Care Evaluation Mechanisms 202
N05.715.360.750 Statistics as Topic 13 095
N05.715.360.750.625 Probability 275
N05.715.360.750.625.150 Bayes Theorem 267
N05.715.360.750.625.300 Hidden Markov Models
N05.715.360.750.625.450 Likelihood Functions 86
N05.715.360.750.625.500 Markov Chains 49
N05.715.360.750.625.590 Odds Ratio 278
N05.715.360.750.625.620 Propensity Score 86
N05.715.360.750.625.650 Proportional Hazards Models 476
N05.715.360.750.625.700 Risk 2 705
N05.715.360.750.625.850 Uncertainty 85
N05.715.360.750.770 Stochastic Processes 117
N05.715.360.750.770.250 Hidden Markov Models
N05.715.360.750.770.500 Markov Chains 49
N06 Environment and Public Health 203
N06.850 Public Health 4 047
N06.850.520 Epidemiologic Methods 1 030
N06.850.520.830 Statistics as Topic 13 095
N06.850.520.830.600 Probability 275
N06.850.520.830.600.200 Bayes Theorem 267
N06.850.520.830.600.300 Hidden Markov Models
N06.850.520.830.600.400 Likelihood Functions 86
N06.850.520.830.600.500 Markov Chains 49
N06.850.520.830.600.600 Odds Ratio 278
N06.850.520.830.600.650 Propensity Score 86
N06.850.520.830.600.700 Proportional Hazards Models 476
N06.850.520.830.600.800 Risk 2 705
N06.850.520.830.600.900 Uncertainty 85
N06.850.520.830.996 Stochastic Processes 117
N06.850.520.830.996.250 Hidden Markov Models
N06.850.520.830.996.500 Markov Chains 49

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