Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:stochastic_process
|
| gptkbp:application |
gptkb:factor_analysis
unsupervised learning feature allocation |
| gptkbp:describedBy |
gptkb:Journal_of_Machine_Learning_Research
gptkb:Griffiths_&_Ghahramani_(2005) |
| gptkbp:distributedBy |
exchangeable distribution
|
| gptkbp:field |
gptkb:machine_learning
statistics |
| gptkbp:generation |
binary matrices
|
| https://www.w3.org/2000/01/rdf-schema#label |
Indian buffet process
|
| gptkbp:introduced |
gptkb:Zoubin_Ghahramani
gptkb:Thomas_L._Griffiths |
| gptkbp:introducedIn |
2005
|
| gptkbp:parameter |
alpha
beta number of customers |
| gptkbp:priorFor |
infinite latent feature models
|
| gptkbp:relatedTo |
gptkb:Chinese_restaurant_process
|
| gptkbp:usedFor |
nonparametric Bayesian models
latent feature models |
| gptkbp:bfsParent |
gptkb:Sinead_Williamson
gptkb:Chinese_restaurant_process |
| gptkbp:bfsLayer |
7
|