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jvangael's library [9 articles]

Recent papers added to jvangael's library.
  • Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
    Journal of Artificial Intelligence Research, Vol. 26, pp. 153-190.
    by Tom Heskes
    posted to no-tag by jvangael on 2007-09-26 23:31:52 as **** along with 1 person pcarbo
  • Loop Corrected Belief Propagation
    by JM Mooij, B Wemmenhove, HJ Kappen, T Rizzo
    posted to bp inference by jvangael on 2007-04-09 19:30:32 as read
  • An introduction to MCMC for machine learning
    (2003)
    by C Andrieu, N de Freitas, A Doucet, M Jordan
    posted to mcmc by jvangael on 2007-04-08 14:54:39 as read along with 13 people and 1 group Hans45 tresch RhysU ansobol mshafiei ecome pool007 sugarexpletive Vezhnick lcigler Xavier vlachmore pkammerer LTN
  • notes Machine Learning
    (01 March 1997)
    by Tom M Mitchell
    posted to machine-learning textbook by jvangael on 2007-04-08 14:53:54 as read along with 21 people and 3 groups bundschu markusd pdlug yaroslavvb jelsas kmregan carueda jounih buescher76 mthomure hansjoergmueller brunomelo cerkut ajylha girschick zchen teesid dquercia robotact jdu sfeige AI RiSE contact-id
  • Latent Dirichlet allocation
    Journal of Machine Learning Research, Vol. 3 (January 2003), pp. 993-1022.
    by David M Blei, Andrew Y Ng, Michael I Jordan
    posted to graphical-models variational by jvangael on 2007-04-08 14:46:04 as read along with 1 person pcarbo
  • Variational inference in graphical models: The view from the marginal polytope
    by Martin J Wainwright, Michael I Jordan
    posted to exponential-family graphical-models inference variational by jvangael on 2007-04-07 15:06:42 as read along with 2 people mukundn awllee
  • Graphical models, exponential families, and variational inference.
    (2003)
    by Martin Wainwright, Michael Jordan
    posted to exponential-family graphical-models inference variational by jvangael on 2007-04-07 15:04:43 as read along with 3 people mshafiei bayes hcs
  • An Introduction to Variational Methods for Graphical Models
    Machine Learning, Vol. 37, No. 2. (1999), pp. 183-233.
    by Michael I Jordan, Zoubin Ghahramani, Tommi Jaakkola, Lawrence K Saul
    posted to graphical-models inference tutorial variational by jvangael on 2007-04-07 14:59:10 as read along with 7 people ecome mukundn wnpx alad phitastic pythia2k jsr
  • Spline Models for Observational Data (C B M S - N S F Regional Conference Series in Applied Mathematics)
    by Grace Wahba
    posted to gaussian-process kernel rkhs spline by jvangael on 2006-09-12 20:08:29 as ** along with 3 people and 1 group davidr joeionnojitsu ecome LTN
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