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1 - 10 of 51 search results for TALK:PC53 20 |u:mlg.eng.cam.ac.uk where 0 match all words and 51 match some words.

  1. Results that match 1 of 2 words

  2. Uprooting and Rerooting Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/puproot.pdf
    16 May 2024: 5. 10. 15. 20. 25Original MMworstmaxWmaxtWbest. maximum edge strength Wmax. 2 4 8 12 160. ... 20. 40. 60. 80. 100Original MMworstmaxWmaxtWbest. low singleton θi [0.1, 0.1] medium singleton θi [2, 2] singleton edge potentials scale together.

  3. Understanding the Bethe Approximation: When and How can it go Wrong?

    https://mlg.eng.cam.ac.uk/adrian/pabc.pdf
    16 May 2024: true values. 2 8 16 24 320. 20. 40. 60. 80.

  4. Clamping Improves TRW and Mean Field Approximations

    https://mlg.eng.cam.ac.uk/adrian/pclamp-aistats.pdf
    16 May 2024: 5. 0. 5. 10. 15. 20. 25. best. worst. pseudo. greedy. ... 20. 30. 40. best. worst. pseudo. greedy. TRW. Bethe. Mean Field.

  5. Uprooting and Rerooting Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/slides_uproot.pdf
    16 May 2024: 5. 10. 15. 20. 25Original MMworstmaxWmaxtWbest. maximum edge strength Wmax. 2 4 8 12 160. ... 15. 20. 25. 30. 35Original MMworstmaxWmaxtWbest. low θi [0.1, 0.1] medium θi [2, 2].

  6. Clamping Variables and Approximate Inference

    https://mlg.eng.cam.ac.uk/adrian/newsclamp.pdf
    16 May 2024: Note regular singleton. potentials. 2 4 8 12 160. 10. 20. ... 2 4 8 12 160. 5. 10. 15. 20. 25. 30.

  7. Clamping Variables and Approximate Inference

    https://mlg.eng.cam.ac.uk/adrian/slides_msr2.pdf
    16 May 2024: 20. 30. 40. best. worst. pseudo. greedy. attractive K15, [0, 6] mixed K15, [6, 6]. ... 20. 40. 60. 80. 100. best. worst. pseudo. greedy. mixed K15, [6, 6] mixed K15, [12, 12].

  8. Penney Ante

    https://mlg.eng.cam.ac.uk/adrian/Penney.pdf
    16 May 2024: Yes. Let S1 =‘HTHH’, S2 =‘THTH’ then t1 = 18, t2 = 20 butprob(THTH before HTHH)= 914 64%.

  9. Revisiting the Limits of MAP Inference by MWSS on Perfect Graphs

    https://mlg.eng.cam.ac.uk/adrian/slides-revisit.pdf
    16 May 2024: x3. 0. x2. 0. s = x1. 20 / 21. Conclusion. •

  10. Structured Prediction Models for Chord Transcription of Music Audio…

    https://mlg.eng.cam.ac.uk/adrian/icmla09adrian.pdf
    16 May 2024: 20]. The modifications reported in this paper have improved the LabROSA system performance by approximately an 8% relative increase, which is almost equivalent to the state-of-the-art. ... Cortes, and V. Vapnik, “Support vector networks”, Machine

  11. Exploring Properties of the Deep Image Prior Andreas…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS_2019_DIP7.pdf
    16 May 2024: Adversarial examples were generated for 20 images using the three methods for various adversarialstrengths.

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