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41 - 50 of 369 search results for Economics test |u:mlg.eng.cam.ac.uk where 35 match all words and 334 match some words.
  1. Results that match 1 of 2 words

  2. Addressing Climate Change

    https://mlg.eng.cam.ac.uk/carl/climate/eaccs.html
    30 May 2024: Example membership prices for various regions. Membership immediately creates economic pressure to cut emissions (for all members, not just large emitters).
  3. International Cooperation against Climate Change

    https://mlg.eng.cam.ac.uk/carl/climate/internationalcooperation.html
    30 May 2024: Strong individual economic pressures conflict with our common global interests. Only through global cooperation can individual and common incentives be re-aligned. ... This creates strong economic pressures to keep using fossil fuels. The real
  4. arXiv:0906.4032v1 [cs.LG] 22 Jun 2009

    https://mlg.eng.cam.ac.uk/pub/pdf/BorGha09a.pdf
    13 Feb 2023: An associated test is called a two-sample test. Such tests are encountered invarious disciplines from the life sciences to the social sciences:. • ... 3. 3 Concept of Bayesian two-sample tests. 3.1 Bayes factor as test criterion.
  5. https://mlg.eng.cam.ac.uk/zoubin/misc/karna.txt

    https://mlg.eng.cam.ac.uk/zoubin/misc/karna.txt
    27 Jan 2023: This could take time and test our patience. Q. Once the enemy is defined, is violence the proper response? ... It may require education. It will require time and may test our patience.
  6. https://mlg.eng.cam.ac.uk/index.xml

    https://mlg.eng.cam.ac.uk/index.xml
    10 Apr 2024: Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/ Cambridge Machine Learning Group Wowchemy (https://wowchemy.com) en-us Wed, 22 Mar 2023 00:00:00 0000
  7. ML-IRL: Machine Learning in Real Life Workshop at ICLR ...

    https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-Counterfactual_Accuracy.pdf
    16 May 2024: would we have to give up so that the predictionfor the test point would change? ... 2017)), and then we constrain fora random test point to obtain counterfactual accuracy.
  8. Evaluating and Aggregating Feature-based Model Explanations

    https://mlg.eng.cam.ac.uk/adrian/IJCAI20_EvaluatingAndAggregating.pdf
    16 May 2024: For Iris [Dua and Graff, 2017], we train our modelto 96% test accuracy. ... 45). Table 2: Faithfulness µF averaged over a test set: (Zero Baseline,Training Average Baseline).
  9. 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
  10. 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?
  11. 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. •

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