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61 - 70 of 314 search results for Economics test |u:mlg.eng.cam.ac.uk where 23 match all words and 291 match some words.

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  2. Recent Advanced in Causal Modelling Using Directed Graphs

    https://mlg.eng.cam.ac.uk/zoubin/SALD/scheines.ppt
    27 Jan 2023: Can be applied to distributions where tests of conditional independence are known, but scores aren’t. ... 2) X1 - X2 into X2. Test. Test Conditions. X3. X2.

  3. PILCO: A Model-Based and Data-Efficient Approach to Policy Search

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiRas11.pdf
    13 Feb 2023: 3)–(5). Doing this properlyrequires mapping uncertain test inputs through theGP dynamics model. ... b) Histogram (after 1,000 test runs)of the distances of the flywheel frombeing upright.

  4. Gaussian Mixture Modeling with Gaussian Process Latent Variable Models

    https://mlg.eng.cam.ac.uk/pub/pdf/NicRas10.pdf
    13 Feb 2023: Secondly, our empirical results (see Section 3)indicate, that the test set performance is simply not good. ... Table 1. Average log test densities over 10 random splits of the data.

  5. Prediction on Spike DataUsing Kernel Algorithms Jan Eichhorn, Andreas …

    https://mlg.eng.cam.ac.uk/pub/pdf/EicTolZieetal04.pdf
    13 Feb 2023: Finallywe train the best model on these four folds and compute an independent test error on theremaining fold. ... Table 1 Mean test error and standard error on the low contrast dataset.

  6. The Random Forest Kerneland creating other kernels for big data from…

    https://mlg.eng.cam.ac.uk/pub/pdf/DavGha14a.pdf
    13 Feb 2023: the test log-likelihood on a symmetric logscale as the discrepancy is very large. ... Test MSE on real-world regression problems (lower isbetter). 5.2. Approximation quality.

  7. Nonparametric Bayesian Sparse Factor Models with application to Gene…

    https://mlg.eng.cam.ac.uk/pub/pdf/KnoGha11b.pdf
    13 Feb 2023: Figure 8(a) shows test set log likelihoods for 10 ran-dom divisions of the data into training and test sets. ... test. dat. a. SFAAFA NS. FA. Fig 9. Test set log likelihoods on Prostate cancer dataset from Yu et al.

  8. 4F13 Machine Learning: Coursework #4: Reinforcement Learning Zoubin…

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/cw/coursework4.pdf
    19 Nov 2023: Test yourvalueIteration algorithm.

  9. 4F13 Machine Learning: Coursework #4: Reinforcement Learning Zoubin…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/cw/coursework4.pdf
    19 Nov 2023: Test yourvalueIteration algorithm.

  10. Scaling the Indian Buffet Process via Submodular Maximization

    https://mlg.eng.cam.ac.uk/pub/pdf/ReeGha13a.pdf
    13 Feb 2023: aibp. t-aibp. f-vibpi-vibp. seconds. test. log-likelihood ugibbs. t-ugibbs. t-aibp. aibp. bnmf. ... test. log-likelihood. Piano. meibp. ugibbs. aibp. bnmf. f-vibp. i-vibp. 103 104 1054.95.

  11. 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.

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