Search

Search Funnelback University

Search powered by Funnelback
21 - 40 of 62 search results for Economics lesson |u:mlg.eng.cam.ac.uk where 4 match all words and 58 match some words.
  1. Results that match 1 of 2 words

  2. LNAI 7524 - Modelling Input Varying Correlations between Multiple…

    https://mlg.eng.cam.ac.uk/pub/pdf/WilGha12a.pdf
    13 Feb 2023: The Re-. view of Economic Studies 61(2), 247–264 (1994)Murray, I., Adams, R.P., MacKay, D.J.: Elliptical Slice Sampling.
  3. Scaling the iHMM: Parallelization versus Hadoop Sébastien…

    https://mlg.eng.cam.ac.uk/pub/pdf/BraVanVlaGha10.pdf
    13 Feb 2023: best in which situation,3) We report the lessons learned from our distributed. ... D. Qualitative comparison. This section completes the computing cost comparisonwith lessons from the software development exercise of allimplementations.
  4. A Generative Model of Vector Space Semantics

    https://mlg.eng.cam.ac.uk/pub/pdf/AndGha13a.pdf
    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.
  5. linsys-new.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/tr-96-2.pdf
    27 Jan 2023: Ph.D. Thesis, Graduate Group in Managerial Science and Applied Economics,University of Pennsylvania, Philadelphia, PA.Everitt, B.
  6. 16 Jul 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.
  7. A Choice Model with Infinitely Many Latent Features Dilan ...

    https://mlg.eng.cam.ac.uk/pub/pdf/GoeJaeRas06.pdf
    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.
  8. 4F13: Machine Learning Lectures 1-2: Introduction to Machine Learning …

    https://mlg.eng.cam.ac.uk/zoubin/ml06/lect1-2.pdf
    27 Jan 2023: Using ideas from: Statistics, Computer Science, Engineering, Applied Mathematics,Cognitive Science, Psychology, Computational Neuroscience, Economics. •
  9. Human Perceptions of Fairness in Algorithmic Decision Making: A Case…

    https://mlg.eng.cam.ac.uk/adrian/WWW18-HumanPerceptions.pdf
    16 Jul 2024: We draw these latentproperties from the existing literature in social-economic-political-moral sciences, philosophy, and the law, as detailed below.I. ... Caused by Sensitive Group Membership. Inspired by thenotions of indirect discrimination in
  10. 3F3: Signal and Pattern Processing Lecture 1: Introduction to ...

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect1.pdf
    19 Nov 2023: Computational Neuroscience: neuronal networks, neural information processing,. • Economics: decision theory, game theory, operational research,.
  11. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf
    19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. •
  12. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf
    19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. •
  13. Bayesian Learning in Undirected Graphical Models:Approximate MCMC…

    https://mlg.eng.cam.ac.uk/zoubin/papers/uai04murray.pdf
    27 Jan 2023: The lesson from this simple example is the following:it is not possible to remove the partition function fromthe parameter posterior, as the “prior” that this wouldimply will be dependent on
  14. Orthogonal Estimation of Wasserstein Distances Mark Rowland∗1 Jiri…

    https://mlg.eng.cam.ac.uk/adrian/AISTATS19-slicedwasserstein.pdf
    16 Jul 2024: physics (Jordan et al., 1998) and economics(Galichon, 2016), and are increasingly used in machinelearning (Arjovsky et al., 2017; Gulrajani et al., 2017;Peyré and Cuturi, 2018).
  15. nips2007-final.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/SilChuGha08.pdf
    27 Jan 2023: This setup is very closely related to the classicseemingly unrelated regressionmodel popular in economics [12].
  16. Gaussian Processes for time-marked time-series data John P.…

    https://mlg.eng.cam.ac.uk/pub/pdf/CunGhaRas12.pdf
    13 Feb 2023: 3.1.2 Gameday Traffic Data. Time-marked data appears in broader contexts thanexperimental science, such as economics and finance(where for example equity volatility may depend bothon calendar events and
  17. Bayes-Ball: The Rational Pastime(for Determining Irrelevance and…

    https://mlg.eng.cam.ac.uk/zoubin/course04/BayesBall.pdf
    27 Jan 2023: Ross D. ShachterEngineering-Economic Systems and Operations Research Dept. Stanford UniversityStanford, CA 94305-4023shachter@stanford.edu.
  18. Bayes-Ball: The Rational Pastime(for Determining Irrelevance and…

    https://mlg.eng.cam.ac.uk/zoubin/course03/BayesBall.pdf
    27 Jan 2023: Ross D. ShachterEngineering-Economic Systems and Operations Research Dept. Stanford UniversityStanford, CA 94305-4023shachter@stanford.edu.
  19. A Nonparametric Bayesian Model for Multiple Clustering…

    https://mlg.eng.cam.ac.uk/pub/pdf/NiuDyGha12.pdf
    13 Feb 2023: This datasetis also very rich. Articles contain topics on politics,economics, business, sports and so on.
  20. TCS November 2001, 2nd pages.qxd

    https://mlg.eng.cam.ac.uk/zoubin/papers/WolGhaFla01.pdf
    27 Jan 2023: Vygotsky thought of as the ‘historicalnature’ of psychological processes – the extent towhich reasoning, memory and categorization areshaped by the social and economic practices of a given.
  21. Bayesian Knowledge Corroboration with LogicalRules and User Feedback…

    https://mlg.eng.cam.ac.uk/pub/pdf/KasVanGraHer10.pdf
    13 Feb 2023: In: Gamesand Economic Behavior, 56(1), pp. 148–173. Elsevier (2006). 35. Jøsang, A., Marsh, S., Pope, S.: Exploring Different Types of Trust Propagation.In: 4th International Conference on Trust Management

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.