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  2. Variational Inference for BayesianMixtures of Factor Analysers Zoubin …

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips99.pdf
    27 Jan 2023: and the algorithm always found between12-14 Gaussians regardless of whether it was initialised with 0 or 200.
  3. 13 Feb 2023: pose a problem and the algorithm always found between12-14 Gaussians regardless of whether it was initialised with 0 or 200.
  4. Carl Edward Rasmussen and Marc Peter Deisenroth Probabilistic…

    https://mlg.eng.cam.ac.uk/pub/pdf/RasDei08.pdf
    13 Feb 2023: d(s)2 = x2 2xl sin(ϕ) 2l2 2l2 cos(ϕ). between the tip of the pendulum and its desired position, measured every 200 ms.The distance d is denoted by ... The x-axis is the number of 200 ms time steps,the y-axis is the immediate costs.
  5. A Kernel Approach to Tractable Bayesian Nonparametrics

    https://mlg.eng.cam.ac.uk/pub/pdf/HusLac11.pdf
    13 Feb 2023: Table 1 summarises the results of this comparisonbased on ten randomised iteration of the experimentwith 2000 training and 200 test samples. ... The data consists of two 200 200color satellite images, the background and the target(Fig.
  6. A Nonparametric Bayesian Approach toModeling Overlapping Clusters…

    https://mlg.eng.cam.ac.uk/pub/pdf/HelGha07a.pdf
    13 Feb 2023: actors,budget, recency, script, etc.) Instead, we took a semi-supervised approach, randomly selecting 200 movies,fixing the Z matrix for those data points to their cor-rect genres, and trying ... DPM inference was run semi-supervised on the same data set
  7. Manifold Gaussian Processes for Regression Roberto Calandra∗, Jan…

    https://mlg.eng.cam.ac.uk/pub/pdf/CalPetRasDei16.pdf
    13 Feb 2023: However, with. 0 1 2 3 4 5110. 140. 170. 200. ... 140. 170. 200. Time (sec). Ang. leof. the. left. Kne. e(d.
  8. 13 Feb 2023: It heard thecorrect door correctly with probability 0.85. The reward was unlikely to be behind the third door (p =. 2),. 0 50 100 150 200 250140. 120. 100. 80. 60.
  9. Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhuKanGha04a.pdf
    13 Feb 2023: For all datasets, we usethe smallestm = 200 eigenvalue and eigenvector pairs from the graph Laplacian. ... 200 88.1 1.3 88.0 1.3 80.4 2.5 84.4 1.6 86.0 1.5 78.3 1.3 60.8 7.3 84.3
  10. Propagation Algorithms for VariationalBayesian Learning Zoubin…

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaBea00a.pdf
    13 Feb 2023: We generated a 200-step time series of 10-dimensional data from three models:5(a) a factor analyser (i.e.
  11. iMGPE.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/RasGha02.pdf
    13 Feb 2023: 0 50 100 150 200. 0. 0.2. 0.4. 0.6. 0.8. 1.

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