ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.08548
  4. Cited By
A New Class of Time Dependent Latent Factor Models with Applications

A New Class of Time Dependent Latent Factor Models with Applications

18 April 2019
Sinead Williamson
M. Zhang
P. Damien
    AI4CE
ArXivPDFHTML

Papers citing "A New Class of Time Dependent Latent Factor Models with Applications"

10 / 10 papers shown
Title
Bayesian nonparametric comorbidity analysis of psychiatric disorders
Bayesian nonparametric comorbidity analysis of psychiatric disorders
Francisco J. R. Ruiz
Isabel Valera
C. Blanco
Fernando Perez-Cruz
CML
46
31
0
29 Jan 2014
Joint modeling of multiple time series via the beta process with
  application to motion capture segmentation
Joint modeling of multiple time series via the beta process with application to motion capture segmentation
E. Fox
M. C. Hughes
Erik B. Sudderth
Michael I. Jordan
83
96
0
22 Aug 2013
A simple example of Dirichlet process mixture inconsistency for the
  number of components
A simple example of Dirichlet process mixture inconsistency for the number of components
Jeffrey W. Miller
M. Harrison
59
159
0
12 Jan 2013
A survey of non-exchangeable priors for Bayesian nonparametric models
A survey of non-exchangeable priors for Bayesian nonparametric models
N. Foti
Sinead Williamson
44
48
0
20 Nov 2012
A unifying representation for a class of dependent random measures
A unifying representation for a class of dependent random measures
N. Foti
Joseph D. Futoma
D. Rockmore
Sinead Williamson
56
28
0
20 Nov 2012
A Non-Parametric Bayesian Method for Inferring Hidden Causes
A Non-Parametric Bayesian Method for Inferring Hidden Causes
Frank Wood
Thomas Griffiths
Zoubin Ghahramani
CML
122
98
0
27 Jun 2012
Bayesian Nonparametric Hidden Semi-Markov Models
Bayesian Nonparametric Hidden Semi-Markov Models
Matthew J. Johnson
A. Willsky
52
364
0
07 Mar 2012
Combinatorial clustering and the beta negative binomial process
Combinatorial clustering and the beta negative binomial process
Tamara Broderick
Lester W. Mackey
John Paisley
Michael I. Jordan
68
73
0
08 Nov 2011
Distance Dependent Infinite Latent Feature Models
Distance Dependent Infinite Latent Feature Models
S. Gershman
P. Frazier
David M. Blei
56
34
0
25 Oct 2011
A sticky HDP-HMM with application to speaker diarization
A sticky HDP-HMM with application to speaker diarization
E. Fox
Erik B. Sudderth
Michael I. Jordan
A. Willsky
98
380
0
15 May 2009
1