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gptkbp:instanceOf
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gptkb:statistical_analysis
|
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gptkbp:application
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gptkb:protein_secondary_structure_prediction
handwriting recognition
gene prediction
part-of-speech tagging
|
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gptkbp:assumes
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gptkb:Markov_property
output independence
|
|
gptkbp:canBe
|
ergodic
left-right
profile HMM
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gptkbp:form
|
finite state automaton
|
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gptkbp:generalizes
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gptkb:Markov_chain
|
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gptkbp:hasComponent
|
transition probabilities
emission probabilities
hidden states
initial state distribution
observable states
|
|
gptkbp:introducedIn
|
1960s
|
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gptkbp:inventedBy
|
gptkb:Leonard_E._Baum
|
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gptkbp:parameter
|
expectation-maximization
|
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gptkbp:relatedTo
|
gptkb:dynamic_Bayesian_networks
gptkb:Markov_chain
gptkb:Bayesian_networks
|
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gptkbp:stateType
|
continuous
discrete
|
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gptkbp:supportsAlgorithm
|
gptkb:Baum-Welch_algorithm
gptkb:Viterbi_algorithm
Forward-backward algorithm
|
|
gptkbp:usedFor
|
gptkb:signal_processing
data compression
robotics
time series analysis
weather prediction
financial modeling
music analysis
gesture recognition
anomaly detection
activity recognition
sequence modeling
DNA sequence analysis
language modeling
video analysis
phoneme recognition
|
|
gptkbp:usedIn
|
gptkb:machine_learning
natural language processing
speech recognition
bioinformatics
pattern recognition
|
|
gptkbp:bfsParent
|
gptkb:Bootstrap_filter
gptkb:Viterbi_algorithm
gptkb:Hermann_Ney
gptkb:Bayesian_networks
gptkb:Lawrence_Rabiner
gptkb:Phil_Woodland
|
|
gptkbp:bfsLayer
|
6
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|
https://www.w3.org/2000/01/rdf-schema#label
|
hidden Markov models
|