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  1. Results that match 1 of 2 words

  2. newroyftp.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/HinGha97a.pdf
    13 Feb 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. 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.
  4. 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.
  5. Methods for Inference in Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf
    19 Jun 2024: 3 Additional Background 24. 3.1 MAP Inference and Tractable Cases. 24.
  6. 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.
  7. 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.
  8. Reinforcement Learning with Reference Tracking Controlin Continuous…

    https://mlg.eng.cam.ac.uk/pub/pdf/HalRasMac11.pdf
    13 Feb 2023: 3] M. P. Deisenroth. Efficient Reinforcement Learning using GaussianProcesses. PhD thesis, Cambridge University, November 24 2009.
  9. 13 Feb 2023: 14 15 16 17 18 19 20 21 22 23 24 25 26 270. ... 2004) (N = 24,D = 100,3000 MCMC iterations). 5.3. Biological data: E.
  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. 1 Graph Kernels by Spectral Transforms Xiaojin Zhu Jaz ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/ssl-book.pdf
    27 Jan 2023: maxµ vec(T )>M µ (1.24). subject to ||M µ|| 1 (1.25). ... 0.27 (86) 0.24 (92) 0.15 0.18 0.40 (85) 0.02 0.12 0.09.

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