新規登録 | ログイン | FAQ      [?] 
Recent | Unread | Search | Authors | Tags | Export

briordan bayesian [22 articles]

最近 briordan さんのライブラリに追加された論文の中から タグ bayesian. You can also see everyone's bayesian.
  • Prior knowledge and exemplar frequency
    (submitted)
    by Harlan D Harris, Gregory L Murphy, Bob Rehder
    posted to models category-learning bayesian by briordan on 2008-05-15 18:20:16 as *****
  • Is a Single-Bladed Knife Enough to Dissect Human Cognition? Commentary on Griffiths et al.
    Cognitive Science: A Multidisciplinary Journal, Vol. 32, No. 1. (2008), pp. 155-161.
    by Wai-Tat Fu
    posted to models bayesian by briordan on 2008-04-30 14:49:09 as read
  • Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC
    NeuroImage, Vol. 40, No. 4. (1 May 2008), pp. 1581-1594.
    by Sung C Jun, John S George, Woohan Kim, Juliana Paré-Blagoev, Sergey Plis, Doug M Ranken, David M Schmidt
    posted to bayesian fmri by briordan on 2008-04-16 00:06:31 as *** along with 1 person and 1 group suizan Functional_Imaging
  • Adding dense, weighted arcs to WordNet
    by Jordan Boyd-Graber
    posted to bayesian computational-linguistics semantic-space wordnet by briordan on 2008-04-05 20:54:32 as read
  • PUTOP: Turning predominant senses into a topic model for word sense disambiguation
    by Jordan Boyd-Graber, David Blei
    posted to bayesian computational-linguistics semantic-space wordnet by briordan on 2008-04-05 20:52:24 as *****
  • A topic model for word sense disambiguation
    (2007)
    by Jordan Boyd-Graber, David Blei, Xiaojin Zhu
    posted to bayesian computational-linguistics semantic-space wordnet by briordan on 2008-04-05 20:47:39 as *****
  • Rational statistical inference and cognitive development
    by Fei Xu
    edited by P Carruthers, S Laurence, S Stich
    posted to bayesian semantic-development word-learning by briordan on 2008-03-23 01:14:04 as *****
  • Learning domain structures
    (2004)
    by Charles Kemp, Amy Perfors, Joshua B Tenenbaum
    posted to bayesian models by briordan on 2008-03-09 19:07:15 as *****
  • Theory-based Bayesian models of inductive learning and reasoning
    Trends in Cognitive Sciences, Vol. In Press, Corrected Proof
    by Joshua B Tenenbaum, Thomas L Griffiths, Charles Kemp
    posted to bayesian models by briordan on 2008-03-09 19:03:29 as **** along with 5 people and 1 group garyfeng drmabuse slygent amorgan77 Cavadini ReadingLab
  • Bayesian learning of visual chunks by human observers
    Proceedings of the National Academy of Sciences, Vol. 105, No. 7. (19 February 2008), pp. 2745-2750.
    by Gergo Orban, Jozsef Fiser, Richard N Aslin, Mate Lengyel
    posted to bayesian statistical-learning by briordan on 2008-02-22 01:14:56 as ****
  • There are many ways to be rich: Effects of three measures of semantic richness on visual word recognition
    pp. 161-167.
    by Penny M Pexman
    posted to bayesian concrete-abstract semantic-features semantic-measures semantic-organization semantic-priming semantic-space by briordan on 2008-01-29 16:22:01 as read
  • Three case studies in the Bayesian analysis of cognitive models
    pp. 1-15.
    by Michael D Lee
    posted to bayesian models by briordan on 2008-01-29 13:45:00 as ***
  • Learning overhypotheses with hierarchical Bayesian models
    Developmental Science, Vol. 10, No. 3. (May 2007), pp. 307-321.
    by Kemp, Charles, Perfors, Amy, Tenenbaum, B Joshua
    posted to bayesian models semantic-development semantic-organization by briordan on 2008-01-27 19:40:14 as ***** along with 1 person Cavadini
  • Adaptive Bayesian Latent Semantic Analysis
    IEEE Transactions on Audio, Speech, and Language Processing, Vol. 16, No. 1. (2008), pp. 198-207.
    by JT Chien, MS Wu
    posted to bayesian models semantic-space by briordan on 2007-12-21 15:12:43 as ***
  • Word learning as Bayesian inference
    Psychological Review, Vol. 114, No. 2. (April 2007), pp. 245-272.
    by Fei Xu, Joshua B Tenenbaum
    posted to bayesian cross-situational word-learning by briordan on 2007-12-17 16:31:41 as ****
  • A Metropolis-Hastings algorithm for dynamic causal models
    NeuroImage, Vol. 38, No. 3. (15 November 2007), pp. 478-487.
    by Justin R Chumbley, Karl J Friston, Tom Fearn, Stefan J Kiebel
    posted to bayesian machine-learning by briordan on 2007-12-17 01:46:10 as ** along with 1 person adick
  • A Bayesian framework for cross-situational word learning
    by Michael C Frank, Noah D Goodman, Joshua B Tenenbaum
    posted to artificial-grammars bayesian cross-situational models word-learning by briordan on 2007-12-13 15:39:41 as read
  • Computational models of inductive reasoning using a statistical analysis of a Japanese corpus
    Cognitive Systems Research, Vol. 8, No. 4. (December 2007), pp. 282-299.
    by Kayo Sakamoto, Asuka Terai, Masanori Nakagawa
    posted to bayesian models semantic-space by briordan on 2007-11-06 04:00:49 as ***
  • Topics in semantic representation
    Psychological Review, Vol. 114, No. 2. (2007), pp. 211-244.
    by Thomas L Griffiths, Mark Steyvers, Joshua B Tenenbaum
    posted to bayesian semantic-association semantic-measures semantic-organization semantic-priming semantic-space by briordan on 2007-10-31 15:39:08 as *****
  • Connectionist models and Bayesian inference
    (1999)
    by James L Mcclelland
    edited by M Oaksford, N Chater
    posted to bayesian models by briordan on 2007-10-21 03:29:43 as **
  • Bayesian models of cognition
    (2008)
    by Thomas L Griffiths, Charles Kemp, Joshua B Tenenbaum
    edited by Ron Sun
    posted to bayesian models semantic-space by briordan on 2007-10-21 03:21:50 as **** along with 1 person robotact
  • A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments
    (2007)
    by Daniel J Navarro, Thomas L Griffiths
    posted to bayesian models semantic-features by briordan on 2007-10-21 03:18:45 as **
    • 注: このページを引用する時は次のURLでどうぞ: http://www.citeulike.org/user/briordan/tag/bayesian

    RIS BibTeX RSS
    CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.