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19 Jun 2024: Significant re-sults are identified using a paired t-test with p = 0.05. ... The SVHN dataset contains 73,257training digits (instances) and 26,032 test digits.

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

19 Jun 2024: In this paper, we draw inspiration from the fair-division and envy-freeness literature in economics and game theory and proposepreference-based notions of fairness—given the choice between various sets ... Finally,we train the five classifiers

19 Jun 2024: Adrian serves on the boards of several organizations. He is a member of the World Economic Forum Global Future Council on the Future of AI, and is co-director of the ... Train and test tightness of LP relaxations in structured prediction.

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

19 Jun 2024: truth.”. Defining criteria and tests for practical faithfulness are important open pro-blems. ... 53. Prat, A.: The wrong kind of transparency. American Economic Review 95(3),862–877 (2005).

13 Feb 2023: It is also able to cor-rectly map the vector associated with “economic. ... Test vector economic development(“economic development”) economic development. economic development. Random vector vital turningfurther obligationsbad negotiations.

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

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.

19 Jun 2024: In this paper, we propose to quantify unfairness using inequal-ity indices that have been extensively studied in economics andsocial welfare [3, 10, 19]. ... For all experiments, we repeatedly split the data into 70%-30%train-test sets 10 times and

19 Jun 2024: 3. Prior literature in social, economic, legal, and political sciences distinguishing between directdiscrimination and indirect discrimination makes similar observations as we do in this paper. ... For each of the classifiers, we also compute

13 Feb 2023: modeling through spatially varying coregionalization. Test 13(2), 263–312 (2004)Gouriéroux, C.: ARCH models and financial applications. ... The Re-. view of Economic Studies 61(2), 247–264 (1994)Murray, I., Adams, R.P., MacKay, D.J.: Elliptical

19 Jun 2024: We draw these latentproperties from the existing literature in social-economic-political-moral sciences, philosophy, and the law, as detailed below.I. ... To evaluate the model, we randomly split thedata into 50%/50% train/test folds five times, and

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

13 Feb 2023: This setup is very closely related to the classicseemingly unrelated regressionmodel popular in economics [12]. ... The same partitions for training and test are usedto generate the results for XGP.

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.

27 Jan 2023: This setup is very closely related to the classicseemingly unrelated regressionmodel popular in economics [12]. ... The same partitions for training and test are usedto generate the results for XGP.

13 Feb 2023: 5. Discussion. EBA is a choice model which has correspondencesto several models in economics and psychology. ... New York:Wiley. McFadden, D. (2000). Economic choice. In T. Persson(Ed.), Nobel lectures, Economics 1996-2000, 330–364.

19 Jun 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.

13 Feb 2023: x), for a test input x, than if we were to treat the dimensionsindependently. ... Journal of Economic and Social Measurement, 25:59–71. Minka, T. P., Winn, J.