|
gptkbp:instance_of
|
gptkb:Management
|
|
gptkbp:allows
|
Infinite Mixture Models
|
|
gptkbp:applies_to
|
gptkb:DNA
Image Segmentation
Document Clustering
|
|
gptkbp:can
|
Unbounded Number of Clusters
|
|
gptkbp:characterized_by
|
Hierarchical Structure
Dirichlet Process Prior
|
|
gptkbp:developed_by
|
gptkb:Michael_I._Jordan
gptkb:David_M._Blei
Alfonso E. C. G. Teh
|
|
gptkbp:enables
|
Adaptive Clustering
|
|
gptkbp:has_applications_in
|
Bioinformatics
Recommendation Systems
Social Network Analysis
|
|
gptkbp:has_limitations
|
Scalability
Computational Complexity
Convergence Issues
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
The Hierarchical Dirichlet Process
|
|
gptkbp:is_a
|
Nonparametric Bayesian Model
|
|
gptkbp:is_discussed_in
|
Blogs
Webinars
Podcasts
|
|
gptkbp:is_evaluated_by
|
gptkb:Markov_Chain_Monte_Carlo
Variational Inference
Posterior Inference
|
|
gptkbp:is_explored_in
|
Conferences
Research Papers
Ph D Theses
|
|
gptkbp:is_implemented_in
|
gptkb:Python
gptkb:R
gptkb:Stan
|
|
gptkbp:is_part_of
|
gptkb:Probabilistic_Graphical_Models
Statistical Learning Theory
Bayesian Hierarchical Models
|
|
gptkbp:is_related_to
|
gptkb:Latent_Dirichlet_Allocation
|
|
gptkbp:is_supported_by
|
Research Grants
Academic Institutions
Collaborative Projects
|
|
gptkbp:is_taught_in
|
gptkb:Workshops
Online Courses
University Courses
|
|
gptkbp:is_used_in
|
gptkb:Natural_Language_Processing
|
|
gptkbp:provides
|
Hierarchical Clustering
|
|
gptkbp:related_to
|
gptkb:Chinese_Restaurant_Process
Dirichlet Process Mixture Model
|
|
gptkbp:used_in
|
gptkb:machine_learning
Topic Modeling
Bayesian Nonparametrics
|
|
gptkbp:bfsParent
|
gptkb:David_Blei
|
|
gptkbp:bfsLayer
|
4
|