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dcoates' bayesian [33 articles]

Artikler nylig sendt til dcoates' bibliotek klassifisert med nøkkelordet bayesian. You can also see everyone's bayesian.
  • Bayesian spiking neurons II: learning.
    Neural computation, Vol. 20, No. 1. (January 2008), pp. 118-145.
    by S Deneve
    posted to spikes learning bayesian by dcoates on 2008-06-10 23:27:26 as **
  • Sequential Bayesian decoding with a population of neurons
    Neural Comput., Vol. 15, No. 5. (May 2003), pp. 993-1012.
    by Si Wu, Danmei Chen, Mahesan Niranjan, Shun-Ichi Amari
    posted to population-coding bayesian by dcoates on 2008-05-30 17:32:45 as ** along with 1 person balicea
  • Learning Dynamic Bayesian Networks
    Lecture Notes in Computer Science, Vol. 1387 (1998), pp. 168-197.
    by Zoubin Ghahramani
    posted to graphical-models bayesian by dcoates on 2008-05-24 00:47:40 as ** along with 3 people bruno markusd pthimon
  • Bidirectional Retrieval from Associative Memory
    Vol. 10 (1998)
    by Friedrich T Sommer, Günther Palm
    edited by Michael I Jordan, Michael J Kearns, Sara A Solla
    posted to bayesian associative-memory assemblies by dcoates on 2008-05-21 08:59:29 as **
  • A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework
    (["lib/utils:month\\verbJanuary_JanuaryMarchJulyMayMay" not defined] 2003)
    by J Diard, P Bessiere, E Mazer
    posted to bayesian by dcoates on 2008-05-21 06:17:47 as **
  • A Bayesian attractor network with incremental learning
    Network: Computation in Neural Systems, Vol. 13, No. 2. (2002), pp. 179-194.
    posted to bayesian attractor associative-memory by dcoates on 2008-05-21 02:14:00 as **
  • Attractor dynamics in a modular network model of the cerebral cortex
    Neurocomputing, Vol. 69, No. 10-12. (June 2006), pp. 1155-1159.
    by Mikael Lundqvist, Martin Rehn, Anders Lansner
    posted to spikes bayesian attractor by dcoates on 2008-05-21 02:11:15 as **
  • Dynamic predictions: oscillations and synchrony in top-down processing.
    Nat Rev Neurosci, Vol. 2, No. 10. (October 2001), pp. 704-716.
    by AK Engel, P Fries, W Singer
  • A working memory model based on fast Hebbian learning
    Network: Computation in Neural Systems, Vol. 14, No. 4. (2003), pp. 789-802.
    posted to bayesian associative-memory by dcoates on 2008-05-20 00:58:50 as ** along with 2 people jddeng prerona
  • One-Shot Learning of Object Categories
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 28, No. 4. (2006), pp. 594-611.
    by Li Fei-Fei, R Fergus, P Perona
    posted to visual bayesian by dcoates on 2008-05-19 18:22:01 as ** along with 2 people drmabuse zeppe
  • A Bayesian network framework for relational shape matching
    Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on (2003), pp. 671-678 vol.1.
    posted to visual bayesian by dcoates on 2008-05-19 17:28:49 as ** along with 1 person olyweb
  • Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
    Computer Vision and Image Understanding, Vol. In Press, Corrected Proof
    by Li Fei-Fei, Rob Fergus, Pietro Perona
    posted to visual bayesian by dcoates on 2008-05-19 17:28:23 as ** along with 2 people drmabuse mthomure
  • Implicit Learning in 3D Object Recognition: The Importance of Temporal Context
    Neural Comp., Vol. 11, No. 2. (15 February 1999), pp. 347-374.
    by Suzanna Becker
    posted to temporal bayesian by dcoates on 2008-05-19 17:24:55 as **
  • Stochastic Reasoning, Free Energy, and Information Geometry
    Neural Comp., Vol. 16, No. 9. (1 September 2004), pp. 1779-1810.
    by Shiro Ikeda, Toshiyuki Tanaka, Shun-Ichi Amari
    posted to signal-processing information bayesian by dcoates on 2008-05-19 07:56:04 as **
  • 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 visual bayesian by dcoates on 2008-05-19 07:14:14 as ** along with 1 person briordan
  • Probabilistic population codes and the exponential family of distributions.
    Prog Brain Res, Vol. 165 (2007), pp. 509-519.
    by J Beck, WJ Ma, PE Latham, A Pouget
    posted to population-coding bayesian by dcoates on 2008-05-19 05:37:53 as ** along with 1 person sbarthelme
  • Bayesian Spiking Neurons I: Inference
    Neural Comp., Vol. 20, No. 1. (1 January 2007), pp. 91-117.
    by Sophie Deneve
    posted to spikes bayesian by dcoates on 2008-05-19 04:11:27 as **
  • Population Coding with Correlation and an Unfaithful Model
    Neural Computation, Vol. 13, No. 4. (2001), pp. 775-797.
    by Si Wu, Hiroyuki Nakahara, Shun I Amari
  • Neural Implementation of Bayesian Inference in Population Codes
    by Si Wu, Shun I Amari
    posted to population-coding bayesian by dcoates on 2008-05-16 18:43:38 as **
  • Bayesian inference with probabilistic population codes
    Nature Neuroscience, Vol. 9, No. 11. (22 October 2006), pp. 1432-1438.
    by Wei J Ma, Jeffrey M Beck, Peter E Latham, Alexandre Pouget
  • Cell assembly dynamics in detailed and abstract attractor models of cortical associative memory
    Theory in Biosciences, Vol. 122, No. 1. (19 May 2003), pp. 19-36.
    by Anders Lansner, Erik Fransén, Anders Sandberg
    posted to bayesian attractor associative-memory assemblies by dcoates on 2008-05-11 15:50:43 as **
  • Computing with Continuous Attractors: Stability and Online Aspects
    Neural Computation, Vol. 17, No. 10. (October 2005), pp. 2215-2239.
    by Si Wu, Shun-Ichi Amari
    posted to bayesian attractor associative-memory by dcoates on 2008-05-10 07:20:22 as ** along with 1 person sebwills
  • Natural image statistics and neural representation.
    Annu Rev Neurosci, Vol. 24 (2001), pp. 1193-1216.
  • The [`]Ideal Homunculus': decoding neural population signals
    Trends in Neurosciences, Vol. 21, No. 6. (1 June 1998), pp. 259-265.
    by Mike W Oram, Peter Földiák, David I Perrett, Mike W Oram, Frank Sengpiel
    posted to population-coding information bayesian by dcoates on 2008-04-29 19:50:02 as **
  • Information theory, multivariate dependence, and genetic network inference
    (7 June 2004)
    by Ilya Nemenman
  • Inference in belief networks: A procedural guide
    International Journal of Approximate Reasoning, Vol. 15, No. 3. (1996), pp. 225-263.
    by C Huang, A Darwiche
    posted to bayesian by dcoates on 2008-04-27 22:38:07 as ** along with 3 people wnpx suizan peterhearty
  • Graphical models: Probabilistic inference
    by Jordan C Berkeley
    posted to bayesian by dcoates on 2008-04-27 19:13:43 as **
  • A higher order Bayesian neural network with spiking units.
    International journal of neural systems, Vol. 7, No. 2. (May 1996), pp. 115-128.
    by A Lansner, A Holst
    posted to spikes bayesian by dcoates on 2008-04-27 05:58:38 as **
  • Fusion, propagation, and structuring in belief networks
    Artif. Intell., Vol. 29, No. 3. (September 1986), pp. 241-288.
    by J Pearl
    posted to bayesian by dcoates on 2008-04-27 01:00:43 as ** along with 2 people wasteland93 lcigler
  • A Position Paper on Statistical Inference Techniques Which Integrate Neural Network and Bayesian Network Models
    by William H Hsu
    posted to bayesian by dcoates on 2008-04-27 00:16:12 as **
  • Integration of form and motion within a generative model of visual cortex
    Neural Netw., Vol. 17, No. 5-6. (2004), pp. 809-821.
    by Paul Sajda, Kyungim Baek
    posted to generative contour bayesian by dcoates on 2008-04-26 22:40:40 as **
  • Inference and computation with population codes.
    Annu Rev Neurosci, Vol. 26 (2003), pp. 381-410.
    by A Pouget, P Dayan, RS Zemel
  • Bayesian computation in recurrent neural circuits
    Neural Comput, Vol. 16, No. 1. (January 2004), pp. 1-38.
    by RP Rao
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