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  2. OP-CBIO120293 3290..3297

    https://mlg.eng.cam.ac.uk/pub/pdf/KirGriSav12a.pdf
    13 Feb 2023: Vol. 28 no. 24 2012, pages 3290–3297BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/bts595. Systems biology Advance Access publication October 9, 2012. Bayesian correlated clustering to integrate multiple datasetsPaul Kirk1, Jim E.
  3. 4F13 Probabilistic Machine Learning: Coursework #1: Gaussian…

    https://mlg.eng.cam.ac.uk/teaching/4f13/2324/cw/coursework1.pdf
    19 Nov 2023: having to deal with constrained op-timization for positive parameters), but you will want to report them in their natural domain.
  4. Beyond Distributive Fairness in Algorithmic Decision Making: Feature…

    https://mlg.eng.cam.ac.uk/adrian/AAAI18-BeyondDistributiveFairness.pdf
    16 May 2024: We provide fast submodular mechanisms to op-timize the tradeoff between procedural fairness and predic-tion accuracy. ... Rather, we sometimes see a sig-nificant change in the whole feature set used, in order to op-timize the objective.
  5. Statistical Approaches to Learning and Discovery Latent Variable Time …

    https://mlg.eng.cam.ac.uk/zoubin/SALD/week10time.pdf
    27 Jan 2023: P Q R STU V WX Y. 9. AB C D EF G H IJK L M N OP Q R S TU V W X Y.
  6. 16 May 2024: See 5.1 in the Appendix for further analysis. 6 EXPERIMENTS. We are interested in the empirical performance of the op-timum Bethe marginals and partition function, as the re-. ... Results on the validation set are shown in Figure 4, indi-cating that FW
  7. wisconsin.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GolAndVanSetetal06.pdf
    13 Feb 2023: syn(#1(mad cow disease) #1(BSE)#1(Bovine Spongiform Encephalopathy)#1(Bovine Spongiform Encephalitis). ). After forming terms corresponding to each synonymlist, we combine the synonym lists using the #band ... Finally, we employ Indri’s #combine and
  8. The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...

    https://mlg.eng.cam.ac.uk/zoubin/papers/ihmm.pdf
    27 Jan 2023: Thisinfinite emission model is controlled by two additional hyperparameters. In section 4 wedescribe the procedures for inference (Gibbs sampling the hidden states), learning (op-timising the hyperparameters), and likelihood evaluation
  9. Active Learning with Statistical Models

    https://mlg.eng.cam.ac.uk/pub/pdf/CohGhaJor94a.pdf
    13 Feb 2023: Cambridge, MA 02139. Abstract. For many types of learners one can compute the statistically "op-timal" way to select data.
  10. C:/Users/Adrian/Documents/GitHub/betheClean/docs/nb-UAI.dvi

    https://mlg.eng.cam.ac.uk/adrian/nb-UAI.pdf
    16 May 2024: accuracy) of ageneralbinarypairwise MRF. Runtime is practical forsmall real-world problems. • This now allows the accuracy of the global Bethe op-timum to be tested. • ... Importantly, we now have the opportunity to ex-amine rigorously the
  11. Unsupervised Learning Latent Variable Time Series Models Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/course03/lect4.pdf
    27 Jan 2023: P Q R STU V WX Y. 9. AB C D EF G H IJK L M N OP Q R S TU V W X Y.

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