Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
|
| gptkbp:application |
gptkb:protein_secondary_structure_prediction
handwriting recognition gene prediction part-of-speech tagging |
| gptkbp:assumes |
gptkb:Markov_property
output independence |
| gptkbp:canBe |
ergodic
left-right profile HMM |
| gptkbp:form |
finite state automaton
|
| gptkbp:generalizes |
Markov chain
|
| gptkbp:hasComponent |
transition probabilities
emission probabilities hidden states initial state distribution observable states |
| https://www.w3.org/2000/01/rdf-schema#label |
hidden Markov models
|
| gptkbp:introducedIn |
1960s
|
| gptkbp:inventedBy |
gptkb:Leonard_E._Baum
|
| gptkbp:parameter |
expectation-maximization
|
| gptkbp:relatedTo |
gptkb:dynamic_Bayesian_networks
gptkb:Bayesian_networks Markov chain |
| gptkbp:stateType |
continuous
discrete |
| 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:protein_secondary_structure_prediction
gptkb:Bootstrap_filter gptkb:Viterbi_algorithm gptkb:Hermann_Ney gptkb:Bayesian_networks gptkb:Lawrence_Rabiner gptkb:Phil_Woodland gptkb:Speech_and_Language_Technology gptkb:Pfam |
| gptkbp:bfsLayer |
6
|