Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
|
| gptkbp:application |
Robot localization
Music analysis Machine translation Optical character recognition Speech synthesis Gesture recognition Financial modeling Information extraction Protein sequence analysis Speaker diarization Text segmentation |
| gptkbp:assumes |
gptkb:Markov_property
Hidden states |
| gptkbp:extendsTo |
gptkb:Conditional_Random_Field
gptkb:Hidden_semi-Markov_model gptkb:Hierarchical_Hidden_Markov_Model |
| gptkbp:field |
gptkb:Bioinformatics
Natural language processing Statistics Speech recognition Machine learning Pattern recognition |
| gptkbp:form |
Finite set of states
Emission matrix Initial probability vector Transition matrix |
| gptkbp:generalizes |
Markov chain
|
| gptkbp:hasComponent |
Observations
States Transition probabilities Emission probabilities Initial state distribution |
| https://www.w3.org/2000/01/rdf-schema#label |
Hidden Markov Model
|
| gptkbp:introducedIn |
1960s
|
| gptkbp:inventedBy |
gptkb:Leonard_E._Baum
|
| gptkbp:limitation |
Assumes independence of observations given states
Limited to discrete or simple continuous observations |
| gptkbp:relatedTo |
gptkb:Baum-Welch_algorithm
gptkb:Viterbi_algorithm Markov chain Forward-backward algorithm |
| gptkbp:type |
Generative model
|
| gptkbp:usedFor |
gptkb:Gene_prediction
Time series analysis Speech recognition Handwriting recognition Part-of-speech tagging |
| gptkbp:bfsParent |
gptkb:GENSCAN
|
| gptkbp:bfsLayer |
6
|