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71 - 80 of 225 search results for People aliens |u:mlg.eng.cam.ac.uk where 0 match all words and 225 match some words.

  1. Results that match 1 of 2 words

  2. - IB Paper 7: Probability and Statistics

    https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/lect04.pdf
    19 Nov 2023: Waiting times. The bus arrives on average every 15 minutes. Compare the average waiting timefor people arriving randomly if buses 1) arrive regularly, 2) arrive randomly.

  3. https://mlg.eng.cam.ac.uk/people/david-burt/index.xml

    https://mlg.eng.cam.ac.uk/people/david-burt/index.xml
    10 Apr 2024: David Burt | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/david-burt/ David Burt Wowchemy (https://wowchemy.com) en-us ... burt/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg David Burt

  4. https://mlg.eng.cam.ac.uk/people/david-janz/index.xml

    https://mlg.eng.cam.ac.uk/people/david-janz/index.xml
    10 Apr 2024: David Janz | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/david-janz/ David Janz Wowchemy (https://wowchemy.com) en-us ... janz/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg David Janz

  5. - IB Paper 7: Probability and Statistics

    https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/lect03.pdf
    19 Nov 2023: The averageincome is very different from the median, since a few people have very largeincomes.

  6. Graph-based Semi-supervised Learning Zoubin Ghahramani Department of…

    https://mlg.eng.cam.ac.uk/zoubin/talks/lect3ssl.pdf
    27 Jan 2023: data, using webcam im-ages of ten people that were collected over a period of sev-eral months. ... People changed. 2Instructions for obtaining the dataset can be found at http://www.cs.cmu.edu/˜zhuxj/freefoodcam.

  7. https://mlg.eng.cam.ac.uk/people/wenbo-gong/index.xml

    https://mlg.eng.cam.ac.uk/people/wenbo-gong/index.xml
    10 Apr 2024: Wenbo Gong | Cambridge Machine Learning Group https://mlg.eng.cam.ac.uk/people/wenbo-gong/ Wenbo Gong Wowchemy (https://wowchemy.com) en-us ... gong/avatar_hu78f90294e5b28717599f1f572dc03768_5286_270x270_fill_q75_lanczos_center.jpg Wenbo Gong

  8. You Shouldn’t Trust Me: Learning Models WhichConceal Unfairness From…

    https://mlg.eng.cam.ac.uk/adrian/ECAI20-You_Shouldn%E2%80%99t_Trust_Me.pdf
    19 Jun 2024: Let x2 be a sensitive fea-ture, such as age, given by the shape of the point: assume youngand mature people. ... 100% points are accurate (correctly, blue maturepeople are in the blue zone, red mature people are in the red zone).

  9. Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaHel06.pdf
    13 Feb 2023: Depending on the application, the set D may consist of web pages, movies, people,words, proteins, images, or any other object we may wish to form queries on. ... The size of the dataset after preprocessing was 1813 people by 1532 movies.

  10. One-network Adversarial Fairness

    https://mlg.eng.cam.ac.uk/adrian/AAAI2019_OneNetworkAdversarialFairness.pdf
    19 Jun 2024: Here, following earlierwork, unfairness means discriminating against a particulargroup of people due to sensitive group characteristics suchas gender or race (Grgic-Hlaca et al. ... For the Adult data, a random guessing classi-fier would result in 75.9%

  11. A Unified Approach to Quantifying Algorithmic Unfairness: Measuring…

    https://mlg.eng.cam.ac.uk/adrian/KDD2018_inequality_indices.pdf
    19 Jun 2024: We furtherillustrate this point with two examples: First, by this definition amodel that assigns the same outcome to everyone is considered fair,regardless of people’s merit for different outcomes ... This offersa framework to interpolate between group

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