Search

Search Funnelback University

Search powered by Funnelback
51 - 100 of 261 search results for katalk:PC53 24 / |u:mlg.eng.cam.ac.uk where 0 match all words and 261 match some words.
  1. Results that match 1 of 2 words

  2. newroyftp.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/RGBN.pdf
    27 Jan 2023: A factor analyzer with 24 hidden units discoversglobal features with both excitatory and inhibitory components (gure 9a). ... a) Weights from the top layer hidden unit to the 24 middle-layer hidden units.
  3. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/pub/pdf/BeaGhaRas02.pdf
    13 Feb 2023: The Infinite Hidden Markov Model. Matthew J. Beal Zoubin Ghahramani Carl Edward Rasmussen. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. {m.beal,zoubin,edward
  4. doi:10.1016/j.patrec.2005.09.027

    https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06a.pdf
    13 Feb 2023: Martinez, A., Benavente, R., 1998. The ar face database. CVC TechnicalReport #24. ... Pattern Anal. Mach. Intell. 24 (5), 707–711. Neal, R., 1997. Monte Carlo implementation of Gaussian process modelsfor Bayesian regression and classification.
  5. Beyond Dataset Bias: Multi-task UnalignedShared Knowledge Transfer…

    https://mlg.eng.cam.ac.uk/pub/pdf/TomQuaCapLam12.pdf
    13 Feb 2023: 15 85.38 3.42 80.66 2.12MSRCORID 45.80 4.26 51.79 2.73 52.59 2.93 40.24 3.11. ... In:. NIPS. (2010)24. Leen, G.: Context assisted information extraction. PhD thesis, University of the.
  6. Variational Inference for Nonparametric Multiple Clustering Yue Guan, …

    https://mlg.eng.cam.ac.uk/pub/pdf/GuaDyNiuetal10.pdf
    13 Feb 2023: The first 100 eigenvectors retains a total of 99.24% ofthe overall variance. ... Journalon Machine Learning Research, 3:583–617, 2002. [24] M. Turk and A.
  7. 13 Feb 2023: The resulting predictive log-likelihood forthe five folds were -7.18, -7.15, -7.09, -7.24, -7.31 for thebi-directed model. ... For the LVM trained by maximumlikelihood and EM, the results were -10.78, -10.24, -9.68, -10.04, -10.28, showing a sizeable
  8. Factored Contextual Policy Search with Bayesian Optimization Robert…

    https://mlg.eng.cam.ac.uk/pub/pdf/PinKarKupetal19.pdf
    13 Feb 2023: For the Gym tasks, weemploy an extension [24] of the DMP framework [12] toefficiently generate goal-directed trajectories. ... 16, no. 5, pp. 1190–1208, 1995. [24] J. Kober, K. Mülling, O.
  9. The Indian Buffet Process and Extensions Zoubin Ghahramani University …

    https://mlg.eng.cam.ac.uk/zoubin/talks/turin09.pdf
    27 Jan 2023: 21). Given s, the distribution of Z becomes:. p( Z | x , s, µ ( 1 : ) ) p( Z | x , µ ( 1 : ) ) 1µ I (0 s µ ) (24).
  10. Bayesian Knowledge Corroboration with LogicalRules and User Feedback…

    https://mlg.eng.cam.ac.uk/pub/pdf/KasVanGraHer10.pdf
    13 Feb 2023: While [23, 24] represent the formalism of first-orderlogic by factor graph models, [27] and [29] deal with Bayesian networks appliedto first-order logic. ... 1094–1099. AAAI Press(2008). 24. Domingos, P., Richardson, M.: Markov Logic Networks.
  11. Split and Merge EM Algorithm for Improving Gaussian Mixture Density…

    https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00b.pdf
    13 Feb 2023: Table 1. Log-likelihood/sample size. Initial value EM DAEM SMEM. Training. Mean 159.1 148.2 147.9 145.1Std 1.77 0.24 0.04 0.08.
  12. Gender Classification with Bayesian Kernel Methods [IJCNN1261]

    https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06b.pdf
    13 Feb 2023: 24, no. 5, pp. 707–711, 2002. [6] A. Jain and J.
  13. Augmented Attribute Representations Viktoriia Sharmanska1, Novi…

    https://mlg.eng.cam.ac.uk/pub/pdf/ShaQuaLam12.pdf
    13 Feb 2023: There are 50 animals classesin this dataset. The dataset also contains semantic information in the form of an85-dimensional Osherson’s [24] attribute vector for each animal class. ... In: CVPR. (2010) 3027–3034. 24. Osherson, D.N., Stern, J., Wilkie,
  14. 1 Robust Filtering and Smoothing with Gaussian Processes Marc ...

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiTurHubetal12.pdf
    13 Feb 2023: Using the definition of S in (24), the productof the two Gaussians in (36) results in a new (unnormalized) Gaussianc14 N(xt1 |ψi, Ψ) with. ... 24] J. Kocijan, R. Murray-Smith, C. E. Rasmussen, and B. Likar, “PredictiveControl with Gaussian Process
  15. Tree-Structured Stick Breaking for Hierarchical Data Ryan Prescott…

    https://mlg.eng.cam.ac.uk/pub/pdf/AdaGhaJor10.pdf
    13 Feb 2023: To efficiently learn thenode parameters, we used Hamiltonian (hybrid) Monte Carlo (HMC) [24], taking 25 leapfrog HMCsteps, with a randomized step size. ... 24] Radford M. Neal. MCMC using Hamiltonian dynamics. In Handbook of Markov chain Monte
  16. 13 Feb 2023: 0897 1.0720 0.0855Sugar process 7 268 571 4 0.3323 0.0010 0.3303 0.0009 0.2242 0.0009Dorrit 27 551 24 5 0.5556 0.0075 ... In this experimentwith about 2.24 million training points, it took about0.5 hour to complete 100 iterations of the EM algo-rithm on
  17. images/test_user_webdesign.eps

    https://mlg.eng.cam.ac.uk/pub/pdf/IwaShaGha13a.pdf
    13 Feb 2023: We estimate the Dirichlet parameter β by using the fixed-point iteration method described in [24]. ... γW. EnX. n′=1. αun exp(γtn)! , (24). where W () is the Lambert W function, which solves theequation x = W (x) exp(W (x)), and.
  18. Nonparametric Transforms of Graph Kernelsfor Semi-Supervised Learning …

    https://mlg.eng.cam.ac.uk/zoubin/papers/ZhuKanGhaLaf04.pdf
    27 Jan 2023: 50.27 (86) 0.24 (92) 0.15 0.18 0.40 (85) 0.02 0.12 0.09. ... 0.27 (26) 0.13 (25) 0.03 0.11 0.31 (24) -0.89 -0.80 -0.65100 64.6 2.1 59.0 3.6 58.5 2.9
  19. Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…

    https://mlg.eng.cam.ac.uk/zoubin/papers/bsets-nips05.pdf
    27 Jan 2023: Behavioral and Brain. Sciences, 24:629–641.[6] Tong, S. (2005). Personal communication.
  20. Prediction at an Uncertain Input for GaussianProcesses and Relevance…

    https://mlg.eng.cam.ac.uk/pub/pdf/QuiGirRas03.pdf
    13 Feb 2023: Ex[σ2(x)] varx(µ(x. )) (24). where Ex indicates the expectation under x.
  21. A Nonparametric Bayesian Model for Multiple Clustering…

    https://mlg.eng.cam.ac.uk/pub/pdf/NiuDyGha12.pdf
    13 Feb 2023: 65CRP-CRP 0.87 0.66 0.34 0.87DP-Gauss 0.24 0.27 0.23 0.016. ... on Data Mining,pages 530–539, 2008. [24] A. Strehl and J. Ghosh.
  22. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/pub/pdf/QiMinPic04a.pdf
    13 Feb 2023: PredictiveARDEPPredictiveProbARDEP. EvidenceARDEPAllFeaturesEPlinear. SVMQP_RegAdaBoostLP_RegAdaBoost. AdaBoost_RegAdaBoost. RBF. 23.5 24.5 25.5 26.5. Test error rate.
  23. Marc P. Deisenroth, Jan Peters, and Carl E. Rasmussen: ...

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiPetRas08.pdf
    13 Feb 2023: 578 2.0108 9.23 6.2105 9.81012 9.02488 1.2108 9.24 3.1105 1.31012 9.05.
  24. Gaussian Process Change Point Models

    https://mlg.eng.cam.ac.uk/pub/pdf/SaaTurRas10.pdf
    13 Feb 2023: In FinancialTimes. April 24 2009. Li, D. X. On default correlation: A copula function ap-proach.
  25. Accelerated sampling for the Indian Buffet Process

    https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09a.pdf
    13 Feb 2023: 24.557 -13.977 -26.936. The running times and quality criteria are summarisedin table 2.
  26. Bayesian Learning in Undirected Graphical Models:Approximate MCMC…

    https://mlg.eng.cam.ac.uk/pub/pdf/MurGha04a.pdf
    13 Feb 2023: Pattern Recogni-tion Letters, 24:1251–1259, 2003. [19] David Edwards and Tomáš Havránek.
  27. LNAI 8189 - Variational Hidden Conditional Random Fields with Coupled …

    https://mlg.eng.cam.ac.uk/pub/pdf/BouZafMor13a.pdf
    13 Feb 2023: L(q) = 〈log F(y, x, π′, X)p(π′)〉q(y,s,π′|X) 〈log q(y, s|X)q(π′)〉q(y,s,π′|X)(24). Since log ... IEEE Trans. Neural Networks andLearning Systems 24(1), 170–177 (2013). 8. Ghahramani, Z., Beal, M.: Propagation Algorithms for
  28. Relational Learning with Gaussian Processes Wei ChuCCLS Columbia…

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuSinGhaetal07.pdf
    13 Feb 2023: 28. 26. 24. 22. 20. 18. κ. log P(E). log P(E,Y).
  29. OP-CBIO120293 3290..3297

    https://mlg.eng.cam.ac.uk/pub/pdf/KirGriSav12a.pdf
    13 Feb 2023: Vol. 28 no. 24 2012, pages 3290–3297BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/bts595. Systems biology Advance Access publication October 9, 2012. ... Expression 7.66 1.15 9.48 551. ChIPþPPI 27.04 3.47 18.99 31ChIPþExpression 24.46 2.93
  30. Variational Inference for the Indian Buffet Process Finale…

    https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf
    13 Feb 2023: 25 2973.7 -2.2475 163.24 -1.066. Finite Variational 10 767.1 -0.90825 10072 -0.7465 176.62 -1.051.
  31. Relational Learning with Gaussian Processes Wei ChuCCLS Columbia…

    https://mlg.eng.cam.ac.uk/zoubin/papers/relationalgp.pdf
    27 Jan 2023: 28. 26. 24. 22. 20. 18. κ. log P(E). log P(E,Y).
  32. Learning to Control a Low-Cost Manipulator usingData-Efficient…

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiRasFox11.pdf
    13 Feb 2023: The idea is related to [24],where planning is performed with fully known dynamics anda piecewise linear controller. ... 24] M. Toussaint and C. Goerick. From Motor Learning toInteraction Learning in Robots, chapter A Bayesian Viewon Motor Control and
  33. MCMC for doubly-intractable distributions Iain MurrayGatsby…

    https://mlg.eng.cam.ac.uk/pub/pdf/MurGhaMac06a.pdf
    13 Feb 2023: K. k=0. fk1(xk; θ, θ′)fk(xk; θ, θ′). (24)5. Draw r Uniform[0, 1]6.
  34. A Kernel Approach to Tractable Bayesian Nonparametrics

    https://mlg.eng.cam.ac.uk/pub/pdf/HusLac11.pdf
    13 Feb 2023: method novelty(AuC[%]) recons.(conf[%]). kst 96.82 0.8 2.15 1.0kde 94.56 0.6 9.24 1.9dpm 73.56 4.3 23.85 8.2.
  35. aistats2007-ibpsb.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/TehGorGha07a.pdf
    13 Feb 2023: Givens, the distribution ofZ becomes:. p(Z|x, s, µ(1:)) p(Z|x, µ(1:))1. µI(0sµ) (24).
  36. Bayesian Learning in Undirected Graphical Models:Approximate MCMC…

    https://mlg.eng.cam.ac.uk/zoubin/papers/uai04murray.pdf
    27 Jan 2023: Pattern Recogni-tion Letters, 24:1251–1259, 2003. [19] David Edwards and Tomáš Havránek.
  37. uai2006.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/WooGriGha06a.pdf
    13 Feb 2023: The mean num-ber of signs per patient was 8.24 and the mean numberof stroke localizations was 1.96.
  38. 13 Feb 2023: xα)d/m̃αi(xi) (24).
  39. Graphical models: parameter learning Zoubin Ghahramani Gatsby…

    https://mlg.eng.cam.ac.uk/zoubin/course04/hbtnn2e-II.pdf
    27 Jan 2023: ar(x)p(x) = hr, (24). where r indexes the constraint. If the prior is set to the uniform distribution, and the constraints are measured.
  40. Graphical models: parameter learning Zoubin Ghahramani Gatsby…

    https://mlg.eng.cam.ac.uk/zoubin/course03/hbtnn2e-II.pdf
    27 Jan 2023: ar(x)p(x) = hr, (24). where r indexes the constraint. If the prior is set to the uniform distribution, and the constraints are measured.
  41. 1471-2105-10-242.fm

    https://mlg.eng.cam.ac.uk/pub/pdf/SavHelXuetal09.pdf
    13 Feb 2023: 24], a set of 997 mRNA profilesacross 20 experiments representing systematic perturba-tions of the yeast galactose-utilization pathway. ... Genome Biol 2003,4(5):R34. 24. Ideker T, Thorsson V, Ranish J, Christmas R, Buhler J, Eng J, Bumgar-ner R,
  42. /users/joe/src/tops/dvips

    https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00a.pdf
    13 Feb 2023: Table 1: Log-Likelihood/Sample Size. Initial value EM DAEM SMEM. Training mean 159.1 148.2 147.9 145.1std 1.77 0.24 0.04 0.08max 157.3
  43. 1212 nature neuroscience supplement • volume 3 • november ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/natneuro.pdf
    27 Jan 2023: 24. Todorov, E. Direct cortical control of muscle activation in voluntary armmovements: a model.
  44. PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos

    https://mlg.eng.cam.ac.uk/pub/pdf/ParRasPetDoy18.pdf
    13 Feb 2023: 24. 26. 28. 30. Particle value estimateMoment matching value estimate. Distance in parameter space ( ). Val. ue. (a). -0.15 -0.1 -0.053.3. 3.35. 3.4. 3.45. ... COST FUNCTION NOISE MULTIPLIER PILCO RP RPFS GR GRFS LR TP TPσf TPσnANGLE COST k = 102 0.88 0
  45. Gaussian Processes for time-marked time-series data John P.…

    https://mlg.eng.cam.ac.uk/pub/pdf/CunGhaRas12.pdf
    13 Feb 2023: 2010) (neuron 184, con-dition 24), and firing rates were calculated by smooth-ing the point process data with a Gaussian kernel ofσ = 26ms, which is conventional for neural firing rateanalysis.
  46. analogy-aistats2007.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/analogy-aistats2007.pdf
    27 Jan 2023: C1 C2 RB SB1 SB2 C1 C2 RB SB1 SB2. student course f aculty projectcornell 0.87 0.61 0.87 0.84 0.80 0.19 0.04 0.24 ... 0.18 0.18texas 0.55 0.54 0.77 0.62 0.48 0.24 0.07 0.29 0.07 0.12.
  47. Compact approximations to Bayesian predictive distributions Edward…

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml05snelson.pdf
    27 Jan 2023: 24 data points were generated, half labeled 1,the half other 1; these points are shown as circles andcrosses in Figure 2.
  48. Bayesian correlated clustering to integrate multiple datasetsPaul…

    https://mlg.eng.cam.ac.uk/pub/pdf/KirGriSavGhaetal12.pdf
    13 Feb 2023: Expression 7.66 1.15 9.48 551ChIPPPI 27.04 3.47 18.99 31. ChIPExpression 24.46 2.93 16.87 48PPIExpression 26.04 3.69 22.35 32.
  49. gppl.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml05chuwei-pl.pdf
    27 Jan 2023: f MAPa = Σaβa (24). where βa =. ni=1. gij=1 ln Φ(z. ... de-fined as in (24) at θ.
  50. aistats2007-ibpsb.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/TehGorGha07.pdf
    27 Jan 2023: Givens, the distribution ofZ becomes:. p(Z|x, s, µ(1:)) p(Z|x, µ(1:))1. µI(0sµ) (24).
  51. Bayesian Structured Prediction using Gaussian Processes Sébastien…

    https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaGha14a.pdf
    13 Feb 2023: all 20 sessions, the error rates were 52.12 11.73 for the CRF, 51.91 11.02for GPstruct linear kernel, and 50.42 11.24 for GPstruct SE kernel.

Refine your results

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.