Search

Search Funnelback University

Search powered by Funnelback
10 results 20 results 50 results
Relevance Date (Newest first) Date (Oldest first) Title (A-Z) Title (Z-A) Distance URL (A-Z) URL (Z-A) Shuffle
21 - 40 of 314 search results for katalk:za31 24 / / / / / |u:mlg.eng.cam.ac.uk where 0 match all words and 314 match some words.

  1. Results that match 1 of 2 words

  2. Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/topics/
    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

  3. Clamping Variables and Approximate Inference

    https://mlg.eng.cam.ac.uk/adrian/newsclamp.pdf
    19 Jun 2024: 0.1. 0.2. 0.3. 0.4. max interaction strength W 24 / 19.

  4. Clamping Variables and Approximate Inference

    https://mlg.eng.cam.ac.uk/adrian/slides_msr2.pdf
    19 Jun 2024: 24 / 21. Error in log Z vs number of clamps: complete graphs. ... 24 / 21. Time (secs) vs error in log Z for various methods.

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

    https://mlg.eng.cam.ac.uk/adrian/slides-revisit.pdf
    19 Jun 2024: Revisiting the Limits of MAP Inference by MWSSon Perfect Graphs. Adrian WellerUniversity of Cambridge. CP 2015Cork, Ireland. Slides and full paper athttp://mlg.eng.cam.ac.uk/adrian/. 1 / 21. Motivation: undirected graphical models (MRFs). •

  6. paper.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/Gha01a.pdf
    13 Feb 2023: J> #. 6? 1. 'R. 4. &S. 2B. " S " ". R. 24. 6 1 ". 0 "Q ". " 1 " 2B 24.

  7. The Case for Process Fairness in Learning:Feature Selection for ...

    https://mlg.eng.cam.ac.uk/adrian/grgic.pdf
    19 Jun 2024: Age 46% 56% 32%Gender 24% 50% 22%Race 24% 35% 15%. Table 3: Comparing judgment of fairness of each feature, of 54 male users, when they have differentknowledge about the ... Age 42% 63% 33%Gender 24% 54% 23%Race 18% 43% 18%. Table 5: Comparing judgment

  8. Engineering Tripos Part IB SECOND YEAR PART IB Paper ...

    https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/IBP7ex75.pdf
    19 Nov 2023: Reading 12-14 15-17 18-20 21-23 24-26 27-29 30-32Frequency 3 5 10 16 18 12 6.

  9. - Machine Learning 4F13, Michaelmas 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1516/lect1011.pdf
    19 Nov 2023: a probability? Ghahramani Lecture 10 and 11: Text and Discrete Distributions 10 / 24. ... Ghahramani Lecture 10 and 11: Text and Discrete Distributions 24 / 24.

  10. - Machine Learning 4F13, Spring 2015

    https://mlg.eng.cam.ac.uk/teaching/4f13/1415/lect1011.pdf
    19 Nov 2023: Rasmussen and Ghahramani Lecture 10 and 11: Text and Discrete Distributions 5 / 24. ... Rasmussen and Ghahramani Lecture 10 and 11: Text and Discrete Distributions 24 / 24.

  11. - Machine Learning 4F13, Spring 2014

    https://mlg.eng.cam.ac.uk/teaching/4f13/1314/lect1011.pdf
    19 Nov 2023: Rasmussen and Ghahramani Lecture 10 and 11: Text and Discrete Distributions 5 / 24. ... Rasmussen and Ghahramani Lecture 10 and 11: Text and Discrete Distributions 24 / 24.

  12. Engineering Tripos Part IB SECOND YEAR PART IB Paper ...

    https://mlg.eng.cam.ac.uk/teaching/1BP7/1819/IBP7ex76.pdf
    19 Nov 2023: 4.40 5.00 13.24 4.84 3.31 11.54 7.42 9.39 3.75 1.39 13.89 31.38 17.48 11.91 2.26

  13. Gaussian Processes — a brief introduction

    https://mlg.eng.cam.ac.uk/teaching/4f13/2324/gp.pdf
    19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6. ... Rasmussen Gaussian Processes October 23th, 2023 24 / 27. 43. 21.

  14. An introduction to Flow Matching · Cambridge MLG Blog

    https://mlg.eng.cam.ac.uk/blog/2024/01/20/flow-matching.html
    12 Apr 2024: Figure 24: One-sided conditioning (Lipman et al., 2022). Figure 25: Two-sided conditioning (Tong et al., 2023).

  15. 3F3: Signal and Pattern Processing Lecture 5: Dimensionality…

    https://mlg.eng.cam.ac.uk/teaching/3f3/1011/lect5.pdf
    19 Nov 2023: Dataset Data dim. Sample size MLE Regression Corr. dim.Swiss roll 3 1000 2.1(0.02) 1.8(0.03) 2.0(0.24)Faces 64 64 698 4.3

  16. Directed and Undirected Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/2018-MLSALT4-AW1-models.pdf
    19 Jun 2024: 23 / 26. Directed and undirected models are different. 24 / 26. ... Directed and undirected models are different. With <3 edges,. 24 / 26.

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

    https://mlg.eng.cam.ac.uk/adrian/icmla09adrian.pdf
    19 Jun 2024: To its right, 0-1 adds the features of the previous frame, so in this model each frame is represented by 24 dimensions.

  18. Junction Tree, BP and Variational Methods

    https://mlg.eng.cam.ac.uk/adrian/2018-MLSALT4-AW3-approx.pdf
    19 Jun 2024: 24 / 32. The log-partition function log Z. Since D(q‖p) 0, we have. ... a finite convex hull 3. M(G) = conv {φ(e), e X m} (5.24).

  19. Bounding the Integrality Distance ofLP Relaxations for Structured…

    https://mlg.eng.cam.ac.uk/adrian/OPT2016_paper_3.pdf
    19 Jun 2024: 24)Using the same approach to upper-bound Equation 22, we assume, without loss of generality, that(δ(µI ) θ) µ̃L (δ(µI ) θ. ′) ... m. (25). Using Equation 25 to upper-bound 22, and Equation 24 to upper-bound 23, we have that.

  20. Gaussian Process

    https://mlg.eng.cam.ac.uk/teaching/4f13/2122/gaussian%20process.pdf
    19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6.

  21. Gaussian Process

    https://mlg.eng.cam.ac.uk/teaching/4f13/1819/gaussian%20process.pdf
    19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6.

Refine your results

Date

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.