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  2. https://www.bibleandww1.divinity.cam.ac.uk/people/MikeSnape/vCard

    https://www.bibleandww1.divinity.cam.ac.uk/people/MikeSnape/vCard
    1 Feb 2023:
  3. Publications | Haseloff Lab:

    https://haseloff.plantsci.cam.ac.uk/research/publications/index.html
    14 Aug 2023: Rudge TJ, Steiner PJ, Kan A and Haseloff J. ACS Synthetic Biology, 2:705-714, (2013). ... Federici F, Rudge TJ, Pollak B, Haseloff J, Gutiérrez RA. Biological Research 46:383-93, (2013).
  4. Bayesian Hierarchical Clustering Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/zoubin/papers/bhcnew.pdf
    27 Jan 2023: k2) = p(Di|Ti)p(Dj|Tj) where the probability of. a data set under a tree (e.g. ... Combiningterms we obtain:. p(Di|Ti)p(Dj|Tj)didjdk. =1. dk. . . v′VTi. αmv′m. v′.
  5. Non-linear stability of black holes: a mathematical overview

    https://www.dpmms.cam.ac.uk/~rbdt2/NAGR/NAGR_04_Giorgi.pdf
    9 Nov 2023: closed: if tj B with tj tfin then tfin B. Relies on higher orderCk estimates for all the quantities and Arzela-Ascoli theorem to showconvergence. ... the gauge assumptions need to be constructed for the extendedspacetime. closed: if tj B with tj tfin
  6. 2 Waves 2.11 Fisher’s Equation for Population Dispersal Problems ...

    https://www.maths.cam.ac.uk/undergrad/catam/II/2pt11.pdf
    31 Jul 2023: Writing tj = j(t), yn = n/N,(n = 0, 1,. ,N), and using the notation ρj,n ρ(tj,yn), sj s(tj) we discretise (11) in theform,.
  7. Randomized Algorithms for Fast Bayesian Hierarchical Clustering…

    https://mlg.eng.cam.ac.uk/zoubin/papers/ranbhc.pdf
    27 Jan 2023: H. k2 ) = p(Di|Ti)p(Dj|Tj ) where the probability of a data set under. ... 3)Merge Dk Di Dj , Tk (Ti, Tj )Delete Di and Dj , c c 1.
  8. Bayesian Hierarchical Clustering Katherine A. Heller…

    https://mlg.eng.cam.ac.uk/zoubin/papers/icml05heller.pdf
    27 Jan 2023: k2 ) = p(Di|Ti)p(Dj|Tj ) where the probability of. a data set under a tree (e.g. ... rk =πkp(Dk|Hk1 ). p(Dk|Tk). Merge Dk Di Dj , Tk (Ti, Tj )Delete Di and Dj , c c 1.
  9. Tree-Based Inference for Dirichlet Process Mixtures Yang Xu Machine…

    https://mlg.eng.cam.ac.uk/pub/pdf/XuHelGha09.pdf
    13 Feb 2023: The probabil-ity of the data under the alternative hypothesis is thensimply p(Dk|Hk2 ) = p(Di|Ti)p(Dj|Tj). ... So forTk(1) we have (analogously with equation (7)):. p(Dk|Tk(1)) = p(Dj(1)|Tj(1))p(Dkll |Tkll ) (10).
  10. boltzmann.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/CMU-CALD-02-106.pdf
    27 Jan 2023: 1. 2. 3. 4. 5. 6. tj on 1 0 1 2 3 4 5 60.511.52. ... 8. 7. 6. 5. 4. 3. 2. tj on 0 0.5 1 1.5 2 2.5 310987.
  11. 27 Jan 2023: rdeA1mnj!V yeTWZ]T B? YZc?;du Tj!deo[o]deA ikQ?=yes TWoÓdAZ[r;T!B? ... YA1B O S &O &O @ w{rJs oU@Ts o]ZmnQ8V s Z[Tj O S % $O!
  12. 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.
  13. ITC 12 Torino, June 1988 Dynamic Alternative Routing - ...

    www.statslab.cam.ac.uk/~frank/PAPERS/darmb.pdf
    4 Oct 2023: Figure 1: Optimality criterion. 30 ,I ,I. 25-. -. -0. C=500 -t.lI tj 20-. -. ... Overflow Traffic, }.2. 3.3 Remarks. 0. -t.lI tj. (l) Cl). £.
  14. Cop yrig ht © 202 3 U nive rsity ...

    www.damtp.cam.ac.uk/user/examples/3P2b.pdf
    31 Oct 2023: a) Prove [ti , tj] = iǫijktk. (b) Prove (nt)3 = |n|2nt.
  15. nlds-ftp.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/nlds-ftp.pdf
    27 Jan 2023: of the easier ones that do not depend on the RBF kernel :hxij = xj hzij = zjhxx>ij = xj x;Tj Cxxj hxz>ij = xj z;Tj Cxzjhzz>ij = zj z;Tj
  16. Beyond Dataset Bias: Multi-task UnalignedShared Knowledge Transfer…

    https://mlg.eng.cam.ac.uk/pub/pdf/TomQuaCapLam12.pdf
    13 Feb 2023: minLt. ij. d2t (xti,x. tj). iji 6l. max(0, 1 d2t (xti,x. ... tj) d2t (xti,xtl )) η(Lt) (3). subject to L>s Lt = 0,.
  17. A database to identify important genes of unknown function for…

    https://www2.mrc-lmb.cam.ac.uk/a-database-to-identify-important-genes-of-unknown-function-for-analysis/
    Thumbnail for A database to identify important genes of unknown function for analysis - MRC Laboratory of Molecular Biology 9 Aug 2023: Rocha, JJ., Arcot Jayaram, S., Stevens, TJ., Muschalik, N., Shah, RD., Emran, S., Robles, C., Freeman, M., Munro, S.
  18. Robust estimation of local genetic ancestry in admixed populations ...

    https://mlg.eng.cam.ac.uk/pub/pdf/SohGhaXin12.pdf
    13 Feb 2023: population j by Tj. The role of these parameters is to take into account the difference. ... eters δk. For simplicity of inference, we transform the variables such that rt and Tj are combined.
  19. https://people.ast.cam.ac.uk/~vasily/data/TAP_1697550531535.vot

    https://people.ast.cam.ac.uk/~vasily/data/TAP_1697550531535.vot
    17 Oct 2023: ARI's TAP access to the Gaia Archive. Unique source identifier (unique within a particular Data Release) Basis function coefficients for the BP spectrum representation Basis function coefficients for the RP spectrum representation
  20. Gaussian Process Regression Networks Andrew Gordon Wilson∗ David A.…

    https://mlg.eng.cam.ac.uk/pub/pdf/WilKnoGha11.pdf
    13 Feb 2023: log aj 1. 2log |Kj|. 1. 2a1j f. Tj K. 1f fj (11). ... f. Tj K. 1fj. Kfjθf. K1fj fj〉. The expectations here are straightforward to compute analytically.
  21. Elsevier Editorial System(tm) for Journal of Development Economics…

    https://www.landecon.cam.ac.uk/sites/default/files/2023-03/wp11-05.pdf
    19 Oct 2023: . =. . =. =. =. =. =. tttt. tj. tj. ... tj. tj. jj. jj. tj. tj. jtjt. ttt. ttt. tttt. ttttt.
  22. APPLIED PAPER

    https://www.landecon.cam.ac.uk/sites/default/files/2023-03/wp10-05.pdf
    19 Oct 2023: tj. tj. tj. tjN. jj. jj. tj. tj. jtjt. NxNtNxNtNxNt. ttt.
  23. Learning Depth From Stereo Fabian H. Sınz1, Joaquin Quiñonero ...

    https://mlg.eng.cam.ac.uk/pub/pdf/SinQuiBaketal04.pdf
    13 Feb 2023: Ξx(x) =t. i,j=0. aij Ti(sxx)Tj (syy), Ξy(x) =t. i,j=0. bij Ti(sxx)Tj (syy), (4).
  24. Spatial dependence and data-driven networks of international banks

    https://www.jbs.cam.ac.uk/wp-content/uploads/2020/08/140923-slides-craig.pdf
    9 Jul 2023: Motivation Related literature Empirical Application Results International Core Concluding Remarks. Spatial dependence and data-drivennetworks of international banks. Martı́n Saldı́as, IMF. Ben Craig, Federal Reserve Bank of Cleveland. ciao!
  25. 6 Nov 2023: Advanced Probability. Perla Sousi. November 6, 2023. Contents. 1 Conditional expectation 3. 1.1 Discrete case. 4. 1.2 Existence and uniqueness. 5. 1.3 Product measure and Fubini’s theorem. 11. 1.4 Examples of conditional expectation. 11. 1.4.1
  26. 1471-2105-10-242.fm

    https://mlg.eng.cam.ac.uk/pub/pdf/SavHelXuetal09.pdf
    13 Feb 2023: tion the data in a manner that is consistent with thesubtrees Ti and Tj, where Ti and Tj are the two subtrees of. ... of the merged hypothesis:. Merge , Tk (Ti, Tj). Delete Di and Dj, c c - 1.
  27. PDF - Wavelet Methods in PDE Valuation of Financial Derivatives -…

    https://www.jbs.cam.ac.uk/wp-content/uploads/2020/08/wp0031-1.pdf
    9 Jul 2023: ã I )KJÂ ËJtÎ7LLNM )tJ ) OM ËKJkÎSACX:;NDC;>T;FJbAM;[ÇJZ>>UWVJbAMUÁ{NÅÁLÂAMX;JZ>:>DCÁÜU=¤JbACUÁLNÇ@BÃ:Æ:@B>TJLV#;È[;FV#ÁL=?>tÁ{@CUqAMUÁ{NÅÐ{U{;@ Ã:@. ã I )KJÂ ... ã Â LPR] M 54.SÆ Â _ »PÕ R Â _!T "0UVX tJ PR 54.S Æ.
  28. Applied probability, Lent 2023. ss2871@cam.ac.uk Example Sheet 1 1.…

    https://www.dpmms.cam.ac.uk/study/II/AppliedProbability/2022-2023/ex1ss.pdf
    31 Jan 2023: random variables, independent of N. Show that if g(s,x) is a function and Tj are thejump times of N then. ... E[exp{θNtj=1. g(Tj,Xj)}] = exp{λ t0. (E(eθg(s,X)) 1)ds}. This is called Campbell’s theorem.(b) Cars arrive at the beginning of a long
  29. RJ1P(240812)2.eng.qxd

    https://www.hep.phy.cam.ac.uk/~lester/pv/Gavazzi_RJ1P23V30E.pdf
    20 May 2023: overload current t=1 s(Tj init.=25C) < 55AACrms < 200AACrms. Non-rep. surge current t=10 ms(Tj init.=25C) 325Ap 1900Ap.
  30. 48 Paper 1, Section I7H Statistics What does it ...

    www.statslab.cam.ac.uk/~lab85/resources/Stats2009.pdf
    28 Apr 2023: Y (Y T1. ,. , Y TJ )T has a multivariate normal distribution. [
  31. 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.
  32. 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.
  33. 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.
  34. * For CEFR descriptors, see…

    https://www.clic.eng.cam.ac.uk/files/chinese_for_advanced_course_description_23-24.pdf
    7 Sep 2023: News (china-briefing.com). 中国制造 2025 瞄准十大. 重点领域_行业动态_天. 津市规划和自然资源局. (tj.gov.cn). 中国国务院印发《中国. 制造 2025》 全面推进制.
  35. Time-Sensitive Dirichlet Process Mixture Models Xiaojin Zhu Zoubin…

    https://mlg.eng.cam.ac.uk/zoubin/papers/tdpmTR.pdf
    27 Jan 2023: for j = i 1 to n. if sj {s<j} thenu(c) = u(c) wsj (tj )elseu(c) = u(c) α.
  36. On Accounting Identities and Aggregate Production Functions: A…

    https://www.landecon.cam.ac.uk/sites/default/files/2023-03/wp01-10.pdf
    19 Oct 2023: following relationships using time-series data aggregated across the individual firms:. lnVt = c b4t b5ln tJ b6lnLt (12). ... Vt n. iitV tw Lt. tt Jδ (18). where wt is the (weighted) average wage rate and δt (Vt - wtLt)/ tJ.
  37. On Accounting Identities and Aggregate Production Functions: A…

    https://www.landecon.cam.ac.uk/sites/default/files/2023-03/wp01-09.pdf
    19 Oct 2023: lnVt = c b4t b5ln b6lnLt (12) tJ. ln(Vt/Lt) = c b4t b5 ln (13) )L/J( tt. ... tw tt Jr. tr. it =. tJ. w. tr. 1ititit KrJ )/(ρ t tttttt JrLwJ.
  38. WP 419 Paper

    https://www.jbs.cam.ac.uk/wp-content/uploads/2023/05/cbrwp419.pdf
    9 Jul 2023: e. t t tj j jH Y NA  From (2) and (3) summed over all countries it follows that:. ... 5). t t tj j jW A K  and assume a wealth target W and an adjustment process, similar to Godley (1999).
  39. PDF - Beyond the State Sector: A Study of HRM in Southern China -…

    https://www.jbs.cam.ac.uk/wp-content/uploads/2020/08/wp0221.pdf
    9 Jul 2023: More Local 3 (FH, TJ, HL). Recruitment. Management. More Non-local 17. ... No 3(XG, LF, TJ). Post Training 13. Technical Training 11. Sales Training 10.
  40. PDF - Pricing Equity Default Swaps Using Structural Credit Models -…

    https://www.jbs.cam.ac.uk/wp-content/uploads/2020/08/wp0412.pdf
    9 Jul 2023: 25). where the functions ( , )tI X T and ( , )tJ X T are equal to. ( ... and. ( )1 1 2 21. ( , ) [ ( , )] ( , ) [ ( , )] ( , )a b a bt t t t t t tJ X T X d X T d X T X d X T d X Tb
  41. Time series modelling and inference with Bayesian Context Trees

    www-sigproc.eng.cam.ac.uk/foswiki/pub/Main/IP307/thesis_ip307.pdf
    6 Jul 2023: Time series modelling and inferencewith Bayesian Context Trees. Ioannis Papageorgiou. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofDoctor of Philosophy. St John’s College June 2023. I would like
  42. S0022143021001210jra 1..20

    www.damtp.cam.ac.uk/user/drh39/2021_glacier.pdf
    1 Dec 2023: Journal of Glaciology. Article. Present address: Alfred Wegener Institute,Helmholtz Centre for Polar and MarineResearch, Bremerhaven, Germany. †Present address: Byrd Polar & ClimateResearch Center, The Ohio State University,1090 Carmack Rd,
  43. 23 Mar 2023: Group Theory Lecture Notes. Hugh Osborn. latest update: March 22, 2023. Based on part III lectures Symmetries and Groups, Michaelmas Term 2008, revised andextended at various times subsequently. Books. Books developing group theory by physicists
  44. 13 Feb 2023: Scalable Inference for StructuredGaussian Process Models. Yunus Saatçi. St. Edmund’s College. University of Cambridge. This dissertation is submitted for the degree of. Doctor of Philosophy. December 15, 2011. Preface. This thesis contributes to
  45. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/zoubin/papers/Qi04.pdf
    27 Jan 2023: where rj = φjC1j φ. Tj , uj = φjC. 1j mo, and Cj =. Λ1 m6=j φ. Tmφm. Here φj and φm are j. th and mth.
  46. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/pub/pdf/QiMinPic04a.pdf
    13 Feb 2023: where rj = φjC1j φ. Tj , uj = φjC. 1j mo, and Cj =. Λ1 m6=j φ. Tmφm. Here φj and φm are j. th and mth.
  47. 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
  48. © 2022 European Mathematical SocietyPublished by EMS Press J. ...

    www.damtp.cam.ac.uk/user/mjc249/pdfs/JEMS_foundations_colbrook.pdf
    21 Feb 2023: 2022 European Mathematical SocietyPublished by EMS Press. J. Eur. Math. Soc. (Online first) DOI 10.4171/JEMS/1289. Matthew J. Colbrook Anders C. Hansen. The foundations of spectral computations via theSolvability Complexity Index hierarchy. Received
  49. EQUIVARIANT LINE BUNDLES WITH CONNECTION ON THE p-ADIC UPPER ...

    https://www.dpmms.cam.ac.uk/~sjw47/Drinfeld-I.pdf
    14 Sep 2023: EQUIVARIANT LINE BUNDLES WITH CONNECTION ON THE. p-ADIC UPPER HALF PLANE. KONSTANTIN ARDAKOV AND SIMON WADSLEY. Abstract. Let F be a finite extension of Qp, let F be Drinfeld’s upperhalf-plane over F and let G0 the subgroup of GL2(F) consisting of
  50. GLOBAL SECTIONS OF EQUIVARIANT LINE BUNDLES ON THE p-ADIC ...

    https://www.dpmms.cam.ac.uk/~sjw47/Drinfeld.pdf
    20 Dec 2023: Wedefine. A〈/r,s/〉 :=. jZ. ajj. jZ. Aj : lim|j|. |aj|tj = 0 if s 6 t 6 r. ... and give it the norm jZ ajj. := sups6t6r supjZ |aj|tj.Of course this norm can be written in the somewhat less symmetric form.
  51. 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,. ,

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