Statements (28)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
expectation-maximization algorithm |
| gptkbp:alternativeName |
forward-backward algorithm (in context of HMM parameter estimation)
|
| gptkbp:application |
natural language processing
speech recognition bioinformatics |
| gptkbp:category |
gptkb:algorithm
unsupervised learning |
| gptkbp:convergesTo |
local maximum of likelihood function
|
| gptkbp:field |
gptkb:machine_learning
gptkb:signal_processing computational biology statistics |
| gptkbp:firstPublished |
1970
|
| https://www.w3.org/2000/01/rdf-schema#label |
Baum-Welch algorithm
|
| gptkbp:input |
observed sequence
|
| gptkbp:namedAfter |
gptkb:Lloyd_R._Welch
gptkb:Leonard_E._Baum |
| gptkbp:output |
maximum likelihood estimate of HMM parameters
|
| gptkbp:relatedTo |
Markov chain
expectation-maximization forward-backward algorithm |
| gptkbp:requires |
initial guess of HMM parameters
|
| gptkbp:step |
expectation step
maximization step |
| gptkbp:usedFor |
training hidden Markov models
|
| gptkbp:bfsParent |
gptkb:Markov_chain
|
| gptkbp:bfsLayer |
5
|