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31 - 40 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. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/2324/cw/coursework3.pdf
    19 Nov 2023: You may use the barh command. For thatmultinomial model, what is the highest and lowest possible test set log probability (for anypossible test set)? ... c) For the Bayesian model, what is the log probability for the test document with ID 2001?Explain
  3. 4F13 Machine Learning: Coursework #3: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/2122/cw/coursework3.pdf
    19 Nov 2023: c) For the Bayesian model, what is the log probability for the test document with ID 2001? ... Explainwhether, when computing the log probability of a test document, you would use the multinomial orthe categorical distribution function?
  4. nips.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/WilRas96.pdf
    13 Feb 2023: There is one trainingcase (x(1); t(1)) and one test case for which we wish to predict y. ... The dotted line represents an observation y1 = t(1). In the right-hand plot we seethe distribution of the output for the test case, obtained by conditioning on
  5. Modelling data

    https://mlg.eng.cam.ac.uk/teaching/4f13/2324/modelling%20data.pdf
    19 Nov 2023: generalize from observations in the training set to new test cases(interpolation and extrapolation). • ... make predictions on test cases• interpret the trained model, what insights is the model providing?• evaluate the accuracy of model. •
  6. Modelling data

    https://mlg.eng.cam.ac.uk/teaching/4f13/2122/modelling%20data.pdf
    19 Nov 2023: generalize from observations in the training set to new test cases(interpolation and extrapolation). • ... make predictions on test cases• interpret the trained model, what insights is the model providing?• evaluate the accuracy of model. •
  7. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/pub/pdf/QiMinPic04a.pdf
    13 Feb 2023: The first experiment has 30 random trainingpoints and 5000 random test points with dimension200. ... The estimated predictive performance is better correlated with the test errors thanevidence and sparsity.
  8. 4F13 Machine Learning: Coursework #2: Latent Dirichlet Allocation…

    https://mlg.eng.cam.ac.uk/teaching/4f13/1112/cw/coursework2.pdf
    19 Nov 2023: c) 10% : Using the model from question b), what will the test set log probability be if the testset B contains a word which is not contained in the training set ... e) 10% : What is the log probability for the test document with ID 2001?
  9. 13 Feb 2023: However,it gives proper consideration to the uncertainty surrounding the test point and exactly computes themoments of the correct posterior distribution. ... 0.5log(x2(sin(2x)2)1). Figure 3: Comparison of models for suite of 6 test functions.
  10. Bayesian Inference for Efficient Learning in Control Marc Peter ...

    https://mlg.eng.cam.ac.uk/pub/pdf/DeiRas09.pdf
    13 Feb 2023: Required experience: 1minute. Figure 1 shows some snapshots of a test trajectory, where the controller is trained on experiencefrom 17.5 s. •
  11. Split and Merge EM Algorithm for Improving Gaussian Mixture Density…

    https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00b.pdf
    13 Feb 2023: toimprove the likelihood of both the training data and of held-out test data. ... 2.In Fig. 2, the upper (lower) trajectory corresponds tothe training (test) data.

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