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  2. Bayesian Structured Prediction using Gaussian Processes Sébastien…

    https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaGha14a.pdf
    13 Feb 2023: For each session, we use 10 videosto train a chain CRF or GPstruct and the rest as test data. ... f MAP scheme, thinning at1:1 000. middle: Effect of thinning, i.e.
  3. Scalingin a Hierar chical Unsupervised Network 1 Zoubin Ghahramani,2…

    https://mlg.eng.cam.ac.uk/zoubin/papers/scaling.pdf
    27 Jan 2023: b Sampleoutputsgeneratedbythemodelafter learning. a b c. Figure4: Generative weightsof a three-layeredRGBN after beingtrainedon thestereodisparityproblem.a Weightsfrom thetop layerhidden unit to the 24 middle-layerhidden units. ... Eachof the 24
  4. PROPAGATION OF UNCERTAINTY IN BAYESIAN KERNEL MODELS— APPLICATION TO…

    https://mlg.eng.cam.ac.uk/pub/pdf/QuiGirLarRas03.pdf
    13 Feb 2023: Thiscorresponds to using the model in recall/test phase under uncer-tain input. ... which we draw 100 samples (dots under it).In the middle of the figure, the solid line represents the true under-lying function.
  5. Inferring a measure of physiological age frommultiple ageing related…

    https://mlg.eng.cam.ac.uk/pub/pdf/KnoParGlaWin11.pdf
    13 Feb 2023: Table 2: Hold out test. Values are log10(p) where p is the p-value for the Spearman rank correlationhypothesis test. ... The results are shown in Figure 2.2, where we are also able to include binary variables unlikefor the Spearman test.
  6. College Wellbeing Day | Murray Edwards College - University of…

    https://www.murrayedwards.cam.ac.uk/information-offer-holders/student-wellbeing/college-wellbeing-day
    Thumbnail for College Wellbeing Day | Murray Edwards College - University of Cambridge 9 Feb 2023: MEC's inaugral Wellbeing Day will take place on 23rd February 2023.  Students are invited to drop into the Long Room between 10am - 4pm to participate in our wellness walls, craft activities, jig
  7. chu05a.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGha05a.pdf
    13 Feb 2023: 0.23370.0072. Table 2: Test results of the three algorithms using a Gaussian kernel. ... Figure 4 presents the test results of the three algorithms for different numbers ofselected genes.
  8. 544 The Block Diagonal Infinite Hidden Markov Model Thomas ...

    https://mlg.eng.cam.ac.uk/pub/pdf/SteGhaGoretal09.pdf
    13 Feb 2023: Each dataset had 2000 stepsof training data and 2000 steps of test data. ... these were not significantly different (two sam-ple t-test, p = 0.3).
  9. Variational Inference for BayesianMixtures of Factor Analysers Zoubin …

    https://mlg.eng.cam.ac.uk/zoubin/papers/nips99.pdf
    27 Jan 2023: Thick lines are accepted attempts, thin lines arerejected attempts. (middle) Exp 3: Means of the factor loading matrices. ... The variational Bayesian approachcorrectly inferred both the number of Gaussians and their intrinsic dimensionalities(Figure 3,
  10. Efficient Reinforcement Learning for Motor Control

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiRas09b.pdf
    13 Feb 2023: The objective is to swing the pendulum up and to balanceit in the inverted position in the middle of the track by simplypushing the cart to the left and to the ... The controller manages to keep thecart in the middle of the track, but the pendulum
  11. Bayesian Hierarchical Clustering Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/zoubin/papers/bhcnew.pdf
    27 Jan 2023: Sec-ond our algorithm is derived from Dirichlet processmixtures. Third the hypothesis test at the core ofour algorithm tests between a single merged hypoth-esis and the alternative is exponentially many ... Note that point 18 in the middle column is

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