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31 - 40 of 261 search results for TALK:Vb20 24 / |u:mlg.eng.cam.ac.uk where 0 match all words and 261 match some words.

  1. Results that match 1 of 2 words

  2. The Rendezvous Algorithm: Multiclass Semi-Supervised Learningwith…

    https://mlg.eng.cam.ac.uk/pub/pdf/Azr07.pdf
    13 Feb 2023: Low Density Separation (Chapelle. Appearing in Proceedings of the 24 th International Confer-ence on Machine Learning, Corvallis, OR, 2007. ... 42.72 13.49 4.95 3.79 9.68 21.99 35.17 24.38Data dep.

  3. Dirichlet Process Mixture Models for Verb Clustering Andreas Vlachos…

    https://mlg.eng.cam.ac.uk/pub/pdf/VlaGhaKor08.pdf
    13 Feb 2023: gauss 78.54% 50.22% 61.26%34 classes. vanilla 70.24% 78.94% 74.34%link34 100 73.19% 79.24& 76.10%.

  4. PROPAGATION OF UNCERTAINTY IN BAYESIAN KERNEL MODELS— APPLICATION TO…

    https://mlg.eng.cam.ac.uk/pub/pdf/QuiGirLarRas03.pdf
    13 Feb 2023: Lij = ki(u)kj (u) |2Λ1S I|12 (24). exp[2(u xd)>Λ1(2Λ1 S1)1Λ1(u xd). ],.

  5. The Infinite Partially Observable Markov DecisionProcess Finale…

    https://mlg.eng.cam.ac.uk/pub/pdf/Dos09b.pdf
    13 Feb 2023: 24, pp. 195–220, 2005. [14] T. Smith and R. Simmons, “Heuristic search value iteration for POMDPs,” inProc. ... 24] J. H. Robert, R. St-aubin, A. Hu, and C. Boutilier, “SPUDD: Stochastic planning using decisiondiagrams,” inUAI, pp.

  6. Time-Sensitive Dirichlet Process Mixture Models Xiaojin Zhu Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/papers/tdpmTR.pdf
    27 Jan 2023: w(t, c) =. i:ti<t,si=c. k(t ti) =. eλ(tti) (24). λw(t, c) =. i:ti<t,si=c. (t ti)eλ(tti) (25). We then take a

  7. book

    https://mlg.eng.cam.ac.uk/pub/pdf/PerGhaPon07.pdf
    13 Feb 2023: 1.23). subject to:. wt φt(xn, ynt) wt φt(xn, yt) Mynt,yt ξnt n, t, yt (1.24). ... We end up having a significant reduction in the number ofconstraints2 in our optimisation formulation for CGMs in (1.23)-(1.24).

  8. Continuous Relaxations for Discrete Hamiltonian Monte Carlo

    https://mlg.eng.cam.ac.uk/pub/pdf/ZhaSutSto12a.pdf
    13 Feb 2023: 1 Introduction. Discrete undirected graphical models have seen wide use in natural language processing [11, 24] andcomputer vision [19]. ... Weinberger, editors,Advances in Neural Information Processing Systems 24, pages 2744–2752. 2011.

  9. Sequential Decisions

    https://mlg.eng.cam.ac.uk/zoubin/SALD/week13sequential.pdf
    27 Jan 2023: solutions – the latter relating to “improper” priors! 24. Appendix: Background on the Von Neumann - Morgenstern theory of cardinal.

  10. Bayesian Hierarchical Clustering Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/zoubin/papers/bhcnew.pdf
    27 Jan 2023: 1 2 3 4 5 6 8 9 10 7 11 12 13 14 15 16 18 20 19 17 21 22 23 24 25 26 270. ... 0.2231.24. 3.6. 59.9. 0 1 2 3 4 5 6 74.

  11. Bayesian Hierarchical Clustering Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml05heller.pdf
    27 Jan 2023: 1 2 3 4 5 6 8 9 10 7 11 12 13 14 15 16 18 20 19 17 21 22 23 24 25 26 270. ... 0.2231.24. 3.6. 59.9. 0 1 2 3 4 5 6 74.

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