See this document in CiteSeerX!

Convergence results for the EM approach to mixtures of experts architectures (1993)  (Make Corrections)  (56 citations)
Michael I. Jordan, Lei Xu



  Home/Search   Context   Related

 
View or download:
mit.edu/aipublications...AIM1458.ps.Z
cs.cuhk.hk/pub/neu...n.convergence.ps.Z
berkeley.edu/~jordan/pa...AIM1458.ps.Z
Cached:  PS.gz  PS  PDF   Image  Update  Help

From:  mit.edu/publications...BIBonline (more)
From:  berkeley.edu/~jord...publications
Homepages:  M.Jordan  

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: The Expectation-Maximization (EM) algorithm is an iterative approach to maximum likelihood parameter estimation. Jordan and Jacobs (1993) recently proposed an EM algorithm for the mixture of experts architecture of Jacobs, Jordan, Nowlan and Hinton (1991) and the hierarchical mixture of experts architecture of Jordan and Jacobs (1992). They showed empirically that the EM algorithm for these architectures yields significantly faster convergence than gradient ascent. In the current paper we... (Update)

Cited by:   More
Adaptive Rival Penalized Competitive Learning And Combined.. - Cheung, Leung, Xu (1997)   (Correct)
RBF nets, mixture experts, and Bayesian Ying-Yang learning - Xu (1998)   (Correct)
Special Issue - Harmony Learning Structural   (Correct)

Similar documents (at the sentence level):   More
69.8%:   Convergence results for the EM approach to mixtures of experts.. - Jordan, Xu (1993)   (Correct)
58.7%:   Convergence results for the >EM Approach to Mixtures of Experts .. - Jordan, Xu   (Correct)
48.2%:   Unknown -   (Correct)

Active bibliography (related documents):   More   All
0.2:   LETTER Communicated by Chris Williams Asymptotic Convergence .. - Kong Shatin Hong   (Correct)
0.2:   Track Finding with Deformable Templates - The Elastic.. - Ohlsson, Peterson, Yuille (1992)   (Correct)
0.2:   Hierarchical mixtures of experts and the EM algorithm - Jordan, Jacobs (1994)   (Correct)

Similar documents based on text:   More   All
0.6:   Hierarchical Mixtures of Experts and the EM Algorithm - Jordan, Jacobs (1993)   (Correct)
0.5:   Computing Upper and Lower Bounds on Likelihoods in.. - Jaakkola, Jordan (1996)   (Correct)
0.5:   Estimating Dependency Structure as a Hidden Variable - Meila, Jordan, Morris (1997)   (Correct)

Related documents from co-citation:   More   All
40:   Adaptive Mixtures of Local Experts (context) - Jacobs, Jordan et al. - 1991
38:   Hierarchical mixtures of experts and the EM algorithm - Jordan, Jacobs - 1994
33:   Maximum Likelihood from Incomplete Data via the EM Algorithm (context) - Dempster, Laird et al. - 1977

BibTeX entry:   (Update)

Jordan, MI & Xu, L (1993). Convergence Results for the EM Approach to Mixtures of Experts Architectures. CBCL Memo 87, Centre for Biological and Computational Learning, MIT. http://citeseer.ist.psu.edu/article/jordan93convergence.html   More

@techreport{ jordan93convergence,
    author = "Michael I. Jordan and Lei Xu",
    title = "Convergence Results for the {EM} Approach to Mixtures of Experts Architectures",
    number = "AIM-1458",
    pages = "33",
    year = "1993",
    url = "citeseer.ist.psu.edu/article/jordan93convergence.html" }
Citations (may not include all citations):
1262   Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
520   Generalized Linear Models (context) - McCullagh, Nelder - 1983
472   Hierarchical mixtures of experts and the EM algorithm - Jordan, Jacobs - 1987
413   Adaptive mixtures of local experts (context) - Jacobs, Jordan et al. - 1991
273   Multivariate adaptive regression splines (context) - Friedman - 1991
205   Mixture Models: Inference and Application to Clustering (context) - McLachlan, Basford - 1988
174   A maximization technique occurring in the statistical analys.. (context) - Baum, Petrie et al. - 1970
132   the convergence properties of the EM algorithm (context) - Wu - 1983
46   Hierarchies of adaptive experts (context) - Jordan, Jacobs - 1992
42   Mixture densities (context) - Redner, Walker - 1984
28   Growth transformation for functions on manifolds (context) - Baum, Sell - 1968
25   An iterative procedure for obtaining maximum-likelihood esti.. (context) - Peters, Walker
10   The numerical evaluation of the maximum-likelihood estimates.. (context) - Peters, Walker
7   A new approach to estimating switching regressions (context) - Quandt, Ramsey - 1972
4   Parameter estimation for a mixture of linear regressions (context) - De Veaux - 1986
2   Maximum-likelihood from incomplete data via the EM algorithm (context) - Tech, No et al. - 1977
1   A fast improvement to the EM algorithm on its own terms (context) - York, Meilijson - 1989
1   Estimating mixtures of normal distribution and switching reg.. (context) - Society, Quandt et al. - 1978



The graph only includes citing articles where the year of publication is known.


Documents on the same site (http://alpha-bits.ai.mit.edu/publications/bibliography/BIB-online.html):   More
The Behavior Language; User's Guide - Brooks (1990)   (Correct)
Correspondence and Affine Shape from two Orthographic Views.. - Shashua (1991)   (Correct)
Models of Noise and Robust Estimates - Girosi (1991)   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC