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16 May 2024: Elissa Redmiles acknowledges support from the National Science Foundation GraduateResearch Fellowship Program under Grant No. ... Upon closer examination, we note thatrespondents achieve high consensus on only two of the ten features.

13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Tameem Adel. George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Hong Ge, Robert J B Goudie,

13 Feb 2023: Our analysis highlights global partnerships (SDG 17) as a pivot in global sustainability efforts, which have been strongly linked to economic growth (SDG 8). ... However, if economic growth and trade expansion were repositioned as a means instead of an

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: EVALUATION OF GAUSSIAN PROCESSES AND. OTHER METHODS FOR NON-LINEAR REGRESSION. Carl Edward Rasmussen. A thesis submitted in conformity with the requirements. for the degree of Doctor of Philosophy,. Graduate Department of Computer Science,. in the

24 Jun 2024: Contextual background. Real progress on global warming requires a confluence of concepts, including from science, economics, sociology and ethics. ... The economic turnover relies on a single number, the price per ton of CO.

27 Jan 2023: Ross D. ShachterEngineering-Economic Systems and Operations Research Dept. Stanford UniversityStanford, CA 94305-4023shachter@stanford.edu. ... Shachter, R. D. “An Ordered Examination of InfluenceDiagrams.” Networks 20 (1990): 535-563.

27 Jan 2023: Ross D. ShachterEngineering-Economic Systems and Operations Research Dept. Stanford UniversityStanford, CA 94305-4023shachter@stanford.edu. ... Shachter, R. D. “An Ordered Examination of InfluenceDiagrams.” Networks 20 (1990): 535-563.

13 Feb 2023: 1978). He-donic prices and the demand for clean air.Journal of Environmental Economics & Man-agement, 5, 81–102. ... Sparse greedymatrix approximation for machine learning. Inter-national Conference on Machine Learning 17 (pp.911–918).

13 Feb 2023: All authors read and approved the final versionof the manuscript. Appendixinput: data = {x(1). ... multiple time series. Journal of Business and Economic Statistics2008, 26:78-89. 13.

16 May 2024: 1. IntroductionLearning interpretable data representations is becomingever more important as machine learning models grow insize and complexity, and as applications reach critical so-cial, economic and public health domains. ... MNIST. MNIST (standing

13 Feb 2023: 2006). The examination of loci that have elevated probabilities of a specific ancestry has also given. ... 10: Average N S posterior samples and return the final posterior distribution of Z.

16 May 2024: Some of the material herein is based upon work supported by the National Science Foundation. ... cave functions. They have attracted attention in combinatorics (Lovász, 1983), economics (Topkis,.

13 Feb 2023: I also thank the National Research Foundation (NRF), South Africa, forsupport and the invaluable role they play in supporting South African researchers.Travel funds were obtained with the generous support of ... 43. 2.5 Selecting a Final Embedding. 432.6

13 Feb 2023: Learning control of dynamical systems is a broad subject. Applications rangeform industrial (refining, manufacturing, power), transportation, logistics, electron-ics, robotics, computer science, to economics. ... There is themathematics community

27 Jan 2023: Computation and Psychophysics ofSensorimotor IntegrationbyZoubin GhahramaniB.S.E., Computer Science, University of Pennsylvania (1990)B.A., Cognitive Science, University of Pennsylvania (1990)Submitted to the Department of Brain and Cognitive