The Hierarchical Dirichlet Process
GPTKB entity
Statements (54)
Predicate | Object |
---|---|
gptkbp:instanceOf |
Dirichlet Process
|
gptkbp:allows |
Flexible Modeling
|
gptkbp:appliesTo |
Infinite Mixture Models
|
gptkbp:developedBy |
gptkb:Michael_I._Jordan
gptkb:David_M._Blei gptkb:Alfonso_E._C._G._Teh |
gptkbp:hasRelatedPatent |
gptkb:Recommendation_Systems
Anomaly Detection Customer Segmentation Topic_Discovery |
gptkbp:hasSpecialty |
Flexible
Scalable Robust Nonparametric |
https://www.w3.org/2000/01/rdf-schema#label |
The Hierarchical Dirichlet Process
|
gptkbp:isAvenueFor |
Genomics
Image Segmentation Document Clustering Social_Network_Analysis |
gptkbp:isBasedOn |
Bayesian Inference
Dirichlet Process |
gptkbp:isCharacterizedBy |
Hierarchical Structure
Infinite Number of Clusters |
gptkbp:isEvaluatedBy |
Model Selection
Predictive Performance Posterior Inference |
gptkbp:isFacilitatedBy |
Uncertainty
Complex_Data_Structures |
gptkbp:isLocatedIn |
Python
R |
gptkbp:isPartOf |
Bayesian Statistics
Gaussian Mixture Models Finite Mixture Models K-Means_Clustering |
gptkbp:isPublishedIn |
gptkb:Journal_of_Machine_Learning_Research
gptkb:Journal_of_the_American_Statistical_Association IEEE Transactions on Pattern Analysis and Machine Intelligence Bayesian Analysis |
gptkbp:isRelatedTo |
Latent Dirichlet Allocation
|
gptkbp:isStudiedIn |
Artificial Intelligence
Computer Science Statistics Data_Science |
gptkbp:isUsedIn |
Machine Learning
Natural Language Processing |
gptkbp:isVisitedBy |
Topic Distributions
Clustering Dendrograms Hierarchical Trees |
gptkbp:provides |
Hierarchical Clustering
|
gptkbp:relatedTo |
Dirichlet Process Mixture Model
Chinese_Restaurant_Process |
gptkbp:team |
New_Data
|
gptkbp:usedIn |
Topic Modeling
Bayesian Nonparametrics |