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1 - 10 of 30 search results for tj KaKaotalk:PC53 |u:mlg.eng.cam.ac.uk where 0 match all words and 30 match some words.

  1. Results that match 1 of 2 words

  2. Leader Stochastic Gradient Descent (LSGD) for Distributed Training of …

    https://mlg.eng.cam.ac.uk/adrian/LSGD_Poster_NeurIPS2019.pdf
    6 May 2024: xn,l. Set iteration counters tj,i = 0Set x̃j0 = rgmin. xj,1,.,xj,lE[f(xj,i;ξj,i0)], x̃0 = rgmin. ... j,i)tj,i = tj,i 1;. if nlτ divides (n︀j=1. l︀i=1. tj,i) then.

  3. Leader Stochastic Gradient Descent for DistributedTraining of Deep…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS2019_LSGD_preprint.pdf
    6 May 2024: Randomly initialize x1,1,x1,2,. ,xn,lSet iteration counters tj,i = 0Set x̃j0 = arg min. ... Draw random sample ξj,itj,ixj,i xj,i ηgj,it (xj,i)tj,i = tj,i 1;. if nlτ divides (nj=1.

  4. Methods for Inference in Graphical Models

    https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf
    6 May 2024: Methods for Inference in Graphical Models. Adrian Weller. Submitted in partial fulfillment of the. requirements for the degree. of Doctor of Philosophy. in the Graduate School of Arts and Sciences. COLUMBIA UNIVERSITY. 2014. c2014. Adrian Weller.

  5. Perfusion Quantification Using Gaussian ProcessDeconvolution I.K.…

    https://mlg.eng.cam.ac.uk/pub/pdf/AndSzyRasetal02.pdf
    13 Feb 2023: J Magn Reson 2001;13:496 –520. 3. Villringer A, Rosen BR, Belliveau JW, Ackerman JL, Lauffer RB, BuxtonRB, Choa YS, Wedeen VJ, Brady TJ.

  6. Path Integral Control and Bounded RationalityDaniel A. Braun Univ. ...

    https://mlg.eng.cam.ac.uk/pub/pdf/BraOrtTheSch11.pdf
    13 Feb 2023: partition sum to compute the mean drift in controls. If wediscretize the trajectories x into N equidistant points x(tj )with j = 1,. ,

  7. Bayesian Structured Prediction using Gaussian Processes Sébastien…

    https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaGha14a.pdf
    13 Feb 2023: tj/svm_light/svm_hmm.html4also by Mark Schmidt http://www.di.ens.fr/mschmidt/Software/UGM.html.

  8. chuesann.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaWil04b.pdf
    13 Feb 2023: Tm] with Tj T where T is the set of secondary structuraltypes.

  9. Prediction on Spike DataUsing Kernel Algorithms Jan Eichhorn, Andreas …

    https://mlg.eng.cam.ac.uk/pub/pdf/EicTolZieetal04.pdf
    13 Feb 2023: Let c(a, b) denote the cost of a match/mismatch (a = si, b = tj ) or of a gap (either a =“ ”or b =“ ”). We parameterise the costs with γ and µ

  10. nlds-final.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GhaRow98a.pdf
    13 Feb 2023: RBF kernel :. hxij = xj hzij =. zj. hxx>ij = xj x;Tj C. ... z;Tj C. zzj. Observe that when we multiply the Gaussian RBF kernel i(x) (equation 5) and Nj weget a Gaussian density over (x; z) with mean and covariance.

  11. in Advances in Neural Information Processing Systems 12S.A. Solla, ...

    https://mlg.eng.cam.ac.uk/pub/pdf/HoeRasHan00.pdf
    13 Feb 2023: igna. l, y. 0.2. 0. 0.2. 0.4. 0.6. 0.8. Scan number, tj.

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