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51 - 60 of 94 search results for Economics middle test |u:mlg.eng.cam.ac.uk where 10 match all words and 84 match some words.
  1. Results that match 2 of 3 words

  2. 13 Feb 2023: We used the dataset of 800 data pointsfrom a shrinking spiral from [12 as another test of how well the algorithm ould. ... The variational Bayesian approa h orre tly inferred both the number of Gaussians and their intrinsi dimensionalities(Figure 3,
  3. Learning to Parse Images

    https://mlg.eng.cam.ac.uk/pub/pdf/HinGhaTeh99a.pdf
    13 Feb 2023: Then the learning. 2,3. 2,4. 2,5. 3,4. 3,5. 4,5. Figure 1: Sample images from the test set. ... The 64 middle layer units are meantto encode low level features, while each of the 4 top level units are meant to encodea digit class.
  4. 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).
  5. Beyond Distributive Fairness in Algorithmic Decision Making: Feature…

    https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf
    16 Jul 2024: 2011). For all reported results, we ran-domly split the data into 50%/50% train/test folds 5 times and re-port average statistics. ... In Univer-sity of Michigan Law & Economics Research Paper No. 16012.Ahmed, F.; Dickerson, J.
  6. 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
  7. standalone.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/QuiRasWil07.pdf
    13 Feb 2023: test conditional: p(f|u) = N (K,uK1. u,uu, K, Q,) , (10b). ... Lower graph: assumption of conditional independencebetween training and test function values given u.
  8. The Dynamic Beamformer Ali Bahramisharif1,2,�, Marcel A.J. van…

    https://mlg.eng.cam.ac.uk/pub/pdf/BahvanSchGha12.pdf
    13 Feb 2023: After optimizing parameters, we computedthe performance on the test set. We used the correlation between the actual andpredicted sine and cosine of the angle as the performance measure. ... b) The prediction on the test setusing 300 sources. Red dots
  9. Clamping Variables and Approximate Inference Adrian WellerColumbia…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS14-clamp.pdf
    16 Jul 2024: 6. Test models were constructed as follows: For n variables, singleton potentials were drawn θi U[Tmax,Tmax]; edge weights were drawn Wij U[0,Wmax] for attractive models, or Wij ... In UAI, 2009. P. Milgrom. The envelope theorems. Department of Economics
  10. Occam’s Razor Carl Edward RasmussenDepartment of Mathematical…

    https://mlg.eng.cam.ac.uk/pub/pdf/RasGha01.pdf
    13 Feb 2023: If the modelcomplexity is either too low or too high performance on an independent test set will suffer,giving rise to a characteristic Occam’s Hill. ... The input points are arranged intwo lumps of16 and8 points, the step occurring in the middle of
  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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