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1 - 10 of 93 search results for Economics middle test |u:mlg.eng.cam.ac.uk where 10 match all words and 83 match some words.
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  2. 13 Feb 2023: may have contained data close to the test in-put, which hadn’t been designated as relevance vectors. ... For the robot arm we use dis-joint test and training sets both of 2000 cases.
  3. Gaussian Processes for time-marked time-series data John P.…

    https://mlg.eng.cam.ac.uk/pub/pdf/CunGhaRas12.pdf
    13 Feb 2023: 3.2 Evaluation methods and metrics. To test performance in all data sets, we used leave-one-out cross validation (LOOCV). ... LOOCV test error (RMSE). Time from start Clipping Time-marked GP. GP Averaging GP Averaging Acausal Causal.
  4. Cambridge Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/authors/
    13 Feb 2023: Finally, the fourth conversion yields an algorithm for synthesising program source code from input-output examples that is able to solve test problems 1-3 orders of magnitude faster than a ... Versa substitutes optimization at test time with forward
  5. 13 Feb 2023: In this work, we test how well-automated methods can detect conversational behaviors and replace an expert human annotator. ... Abstract: Domain generalization (DG) seeks predictors which perform well on unseen test distributions by leveraging data drawn
  6. Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/topics/
    13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Gaussian Processes and Kernel Methods. Gaussian processes are non-parametric distributions useful for doing Bayesian inference
  7. Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…

    https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf
    6 May 2024: physics (Jordan et al., 1998) and economics(Galichon, 2016), and are increasingly used in machinelearning (Arjovsky et al., 2017; Gulrajani et al., 2017;Peyré and Cuturi, 2018). ... 5.1 Distance estimation. We begin with a test bed of small-scale
  8. thesis.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/Ras96b.pdf
    13 Feb 2023: test cases can be stored with the same disk requirements. Attempts can be made to further increase the effectiveness (in terms of data) of the tests. ... according to training sets and test cases. Generally paired tests are more powerful than.
  9. 13 Feb 2023: correct character in a test set when novel images are provided to the algorithm. ... However, power willbe the function of a true latent parameter. Only in simple situations will there be a test that isuniformly most powerful: more powerful than other
  10. Methods for Inference in Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf
    6 May 2024: 91. 7.6.2 Test sets. 93. 7.7 Conclusions. 95. 8 Clamping Variables and Approximate Inference 96. ... 7.2 Log partition function and approximations for ABC triangle. 86. 7.3 Bethe free energy ESB with stationary points highlighted (top), then entropy SB
  11. Bayesian Learning forData-Efficient Control Rowan McAllister…

    https://mlg.eng.cam.ac.uk/pub/pdf/Mca16.pdf
    13 Feb 2023: We test our method on the cartpole swing-up task, which involvesnonlinear dynamics and requires nonlinear control. ... Learning control of dynamical systems is a broad subject. Applications rangeform industrial (refining, manufacturing, power),

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