Search

Search Funnelback University

Search powered by Funnelback
11 - 20 of 226 search results for People aliens |u:mlg.eng.cam.ac.uk where 0 match all words and 226 match some words.
  1. Results that match 1 of 2 words

  2. 4F13: Machine Learninghttp://learning.eng.cam.ac.uk/zoubin/ml06/…

    https://mlg.eng.cam.ac.uk/zoubin/ml06/lecture8.pdf
    27 Jan 2023: Statistical samplingWhat is the average height h of people p in Cambridge C? ... EpC[h(p)] 1|C|. pC. h(p). 1S. Ss=1. h(p(s). ), for random survey of S people {p(s)} C.
  3. 2018 Formatting Instructions for Authors Using LaTeX

    https://mlg.eng.cam.ac.uk/adrian/AIES18-crowd_signals.pdf
    19 Jun 2024: 2017),and might help to promote greater understanding and cohe-sion among people. ... CNN You mean, like the UNFOUNDED claims of Russiancollusion? You people are typically selective in your bias pro?https://t.co/CESkVpIZOk@nytimes His actions were
  4. Beyond Distributive Fairness in Algorithmic Decision Making: Feature…

    https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf
    19 Jun 2024: However, we note that such judgments can begathered from any other group of people, ranging fromcrowd workers to domain experts. ... people) more likelyto be falsely predicted as having a higher risk of recidivismthan another group of people (e.g., white
  5. Bounding the Integrality Distance ofLP Relaxations for Structured…

    https://mlg.eng.cam.ac.uk/adrian/OPT2016_paper_3.pdf
    19 Jun 2024: That is, max-margin training with approximateinference—which is something people do anyway to learn graphical models—reduces not only theprediction error, but also the inference approximation error.
  6. ML-IRL: Machine Learning in Real Life Workshop at ICLR ...

    https://mlg.eng.cam.ac.uk/adrian/ML_IRL_2020-CLUE.pdf
    19 Jun 2024: SampleSize” denotes how many people received this variant. The next two columns contain the proportionof correct answers when identifying epistemic or aleatoric uncertainty for LSAT, respectively.
  7. Blind Justice: Fairness with Encrypted Sensitive Attributes

    https://mlg.eng.cam.ac.uk/adrian/ICML18-BlindJustice.pdf
    19 Jun 2024: 2.2. Fairness Criteria. In large part, works that formalize fairness in machine learn-ing do so by balancing a certain condition between groupsof people with different sensitive attributes, z versus ... Figure 3. The fraction of people with z = 0
  8. 10 | UNIVERSITY OF CAMBRIDGE NEWSLETTER | FEBRUARY / ...

    https://mlg.eng.cam.ac.uk/zoubin/misc/KarstenMalariaNewsletter.pdf
    27 Jan 2023: According to the World Health Organisation, more than 1 million people die from its effects every 12 months. ... Near-missesWhy do people gamble if they know that the house always wins?
  9. Mind Reading by Machine Learning

    https://mlg.eng.cam.ac.uk/pub/pdf/HusNopLen10.pdf
    13 Feb 2023: Finally, we also implemented as an alternative methoda previously published algorithm (‘MCMC with people’)to infer subjective distributions (Sanborn & Griffiths,2008). ... Notably, it outperformedthe ‘MCMC with people’ method even in the case
  10. Network Ranking With Bethe Pseudomarginals Kui TangColumbia…

    https://mlg.eng.cam.ac.uk/adrian/2013_NeurIPS_DiscML_Network.pdf
    19 Jun 2024: 1 Introduction. Many important data-sets involve networks: people belong to social networks, webpages are joined in a linkgraph, and power utilities are connected in a grid.
  11. Adversarial Graph Embeddings for Fair Influence Maximization over…

    https://mlg.eng.cam.ac.uk/adrian/IJCAI20_AdversarialGraphEmbeddings.pdf
    19 Jun 2024: in terms of thetotal number of people influenced, and the fraction of peopleinfluenced from both A and B communities. ... maximizing the to-tal number of influenced people, while also significantly de-creasing disparity.

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.