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151 - 200 of 261 search results for katalk:PC53 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. Student-t Processes as Alternatives to Gaussian Processes Amar Shah…

    https://mlg.eng.cam.ac.uk/pub/pdf/ShaWilGha14a.pdf
    13 Feb 2023: 40. 20. 0. 20. Function Evaluation. Max. FunctionValue. GPTP. 1. 4 8 12 16 20 24 28 32 36 400. ... 5. 10. 15. 20. Function Evaluation. Min. FunctionValue. GPTP. 1. 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30.

  3. 368 A kernel method for unsupervised structured network inference ...

    https://mlg.eng.cam.ac.uk/pub/pdf/LipSteGhaetal09.pdf
    13 Feb 2023: The Countries data set contains in-formation on 24 countries, comprising 4 numeric at-tributes: population size, the GNP per capita, theaverage education level (as expressed by scalars), aswell as energy ... Countries trade data (24 nodes)population size

  4. Latent-Space Variational Bayes Jaemo Sung, Student Member,…

    https://mlg.eng.cam.ac.uk/pub/pdf/SunGhaBan08.pdf
    13 Feb 2023: 4 MIXTURE OF GAUSSIANS. Finite mixture [23], [24] is a latent variable model which provides a. ... been used to demonstrate inference algorithms inthe pattern recognition, statistics, and machine learning literatures[6], [24], [25], [26].

  5. Graph-based Semi-supervised Learning Zoubin Ghahramani Department of…

    https://mlg.eng.cam.ac.uk/zoubin/talks/lect3ssl.pdf
    27 Jan 2023: Background Extraction. date 10/24 11/13 1/6 1/14 1/20 1/21 1/271 128 193 153 4742 256 193 4483 288 305 5934 204 190 3945 266

  6. Predictive Automatic Relevance Determinationby Expectation…

    https://mlg.eng.cam.ac.uk/zoubin/papers/Qi04.pdf
    27 Jan 2023: PredictiveARDEPPredictiveProbARDEP. EvidenceARDEPAllFeaturesEPlinear. SVMQP_RegAdaBoostLP_RegAdaBoost. AdaBoost_RegAdaBoost. RBF. 23.5 24.5 25.5 26.5. Test error rate.

  7. Accelerated Sampling for the Indian Buffet Process Finale Doshi-Velez …

    https://mlg.eng.cam.ac.uk/pub/pdf/DosGha09.pdf
    13 Feb 2023: 24.557 -13.977 -26.936. The running times and quality criteria are summarisedin table 2.

  8. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect07.pdf
    19 Nov 2023: But we can not usually simulate Hamiltonian dynamics exactly. Ghahramani & Rasmussen (CUED) Lecture 7: Markov Chain Monte Carlo February 8th and 13th, 2008 24 / 28.

  9. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect04.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 4: Graphical Models January 30th, 2008 24 / 1.

  10. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect04.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 4: Graphical Models January 27th, 2009 24 / 25.

  11. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect04.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 4: Graphical Models January 27th, 2010 24 / 25.

  12. Scalable Gaussian Process Structured Prediction for Grid Factor Graph …

    https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaNowGha14.pdf
    13 Feb 2023: 24.6. 24.7. 24.8. 24.9. 25.0err. or. rate. GPstruct. CRF LBMO bag. ... 2013. http://arxiv.org/abs/1307.3846. Breiman, Leo. Bagging predictors. Machine Learning, 24(2):123–140, 1996. Domke, Justin.

  13. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect07.pdf
    19 Nov 2023: But we can not usually simulate Hamiltonian dynamics exactly. Ghahramani & Rasmussen (CUED) Lecture 7 and 8: Markov Chain Monte Carlo February 10th and 11th, 2010 24 / 28.

  14. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect07.pdf
    19 Nov 2023: But we can not usually simulate Hamiltonian dynamics exactly. Ghahramani & Rasmussen (CUED) Lecture 7 and 8: Markov Chain Monte Carlo February 6th and 10th, 2009 24 / 28.

  15. chuesann.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaWil04b.pdf
    13 Feb 2023: H70.13% 70.77% 72.28% 71.70%. QobsE. 46.51% 24.69% 46.86% 23.96%Qobs. C73.29% 70.52% 72.64% 70.86%.

  16. 1 Automatic Causal Discovery Richard Scheines Peter Spirtes, Clark ...

    https://mlg.eng.cam.ac.uk/zoubin/SALD/scheines.pdf
    27 Jan 2023: Τ2. Μ4. 24. D-separation Equivalence Over a set XXXX. Let X = {X1,X2,X3}, then Ga and Gb1) are not d-separation equivalent, but.

  17. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect04.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 4: Graphical Models 24 / 26.

  18. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect02.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 2, 3: PCA, FA and EM January 23rd, 25th, 2008 24 / 27.

  19. Bayesian Learning of Model Structure Zoubin GhahramaniGatsb y…

    https://mlg.eng.cam.ac.uk/zoubin/talks/cmu-talk.pdf
    27 Jan 2023: 4 5 3 5 3 5 4 3. 24. 34. 33. ... 32. 24. 45. 54. 35. 55. 34. 44. 44. 4. 35.

  20. A Bayesian Approach to Modeling Uncertainty inGene Expression…

    https://mlg.eng.cam.ac.uk/zoubin/papers/icsb2002_full.pdf
    27 Jan 2023: Nature Genetics,24(3):236–244, 2000.

  21. Cambridge Machine Learning Group Publications

    https://mlg.eng.cam.ac.uk/pub/authors/
    13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Tameem Adel. George Nicholson, Marta Blangiardo, Mark Briers, Peter J Diggle, Tor Erlend Fjelde, Hong Ge, Robert J B Goudie,

  22. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1213/lect0304.pdf
    19 Nov 2023: 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1. ... p(x, y)dy = p(x):. wkp(w)dw =. wk(. p(wk, w/k)dw/k. )dwk =. wkp(wk)dwk. Rasmussen & Ghahramani (CUED) Lecture 3 and 4: Gaussian Processes 24 / 32.

  23. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect0203.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 2, 3: PCA, FA and EM January 20th, 23rd, 2009 24 / 27.

  24. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1112/lect0304.pdf
    19 Nov 2023: 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1. ... p(x, y)dy = p(x):. wkp(w)dw =. wk(. p(wk, w/k)dw/k. )dwk =. wkp(wk)dwk. Quiñonero-Candela & Rasmussen (CUED) Lecture 3 and 4: Gaussian Processes 24 /

  25. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect1214.pdf
    19 Nov 2023: knowledge of transition probabilities and rewards• exploration vs. exploitation. Ghahramani & Rasmussen (CUED) Lecture 12, 13, 14: Reinforcement Learning 24 / 25.

  26. chu.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaKra06a.pdf
    13 Feb 2023: MALDI data). Inspection of the normalized von Neu-mann diffusion kernel for this data (Figure 4, bottom right) indicated thata subset of this data (24 baits and 49 proteins) formed clear ... 2 3 12 14 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35

  27. erice.dvi

    https://mlg.eng.cam.ac.uk/zoubin/papers/erice.pdf
    27 Jan 2023: d) Weights from the toplayer binary logistic unit to the 24 middle layer binary logistic units. ... a) Weights from the top layer linear-Gaussian unit tothe 24 middle layer linear-Gaussian units.

  28. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect05.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 5: Graphical Models: Inference 24 / 31.

  29. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect05.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 5: Graphical Models: Inference January 30th, 2009 24 / 31.

  30. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect05.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 5: Graphical Models: Inference February 1st, 2008 24 / 31.

  31. Computational structure of coordinatetransformations: A…

    https://mlg.eng.cam.ac.uk/zoubin/papers/coord.pdf
    27 Jan 2023: 24{1{24{45.Wiley{Interscience, New York.

  32. WolGha05 handout

    https://mlg.eng.cam.ac.uk/zoubin/papers/WolGha06.pdf
    27 Jan 2023: L. Generalization, similarity, and Bayesian inference. Behav Brain Sci 24,. 629-40; discussion 652-791 (2001).

  33. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect14.pdf
    19 Nov 2023: knowledge of transition probabilities and rewards• exploration vs. exploitation. Ghahramani & Rasmussen (CUED) Lecture 14, 15, 16: Reinforcement Learning March 3rd, 4th and 10th, 2010 24 / 25.

  34. Inferring a measure of physiological age frommultiple ageing related…

    https://mlg.eng.cam.ac.uk/pub/pdf/KnoParGlaWin11.pdf
    13 Feb 2023: 2. Figure 1: An intuitive explanation of our model. This 55 year old individual has the cataracts of a79 year old, implying = 24 years.

  35. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect05.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 5: Graphical Models: Inference January 28th, 2010 24 / 31.

  36. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0809/lect13.pdf
    19 Nov 2023: knowledge of transition probabilities and rewards• exploration vs. exploitation. Ghahramani & Rasmussen (CUED) Lecture 13, 14, 15: Reinforcement Learning February 27th, March 3rd and 6th, 2009 24 / 25.

  37. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0708/lect13.pdf
    19 Nov 2023: knowledge of transition probabilities and rewards• exploration vs. exploitation. Ghahramani & Rasmussen (CUED) Lecture 13, 14, 15: Reinforcement Learning February 29th, March 5th and 7th, 2008 24 / 25.

  38. nips.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/Ras96.pdf
    13 Feb 2023: 0.2. 0.3. 0.4. 0.5. 0.6. House. 24 48 96 1920. 0.05.

  39. G:\bioinformatics\Bioinfo-26(7)issue\btq053.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/LipGhaBor10.pdf
    13 Feb 2023: 915. at Cam. bridge University Library on July 24, 2010. http://bioinformatics.oxfordjournals.org. ... 916. at Cam. bridge University Library on July 24, 2010. http://bioinformatics.oxfordjournals.org.

  40. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect0203.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 2, 3: PCA, FA and EM 24 / 32.

  41. 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.

  42. Communicated by David MacKay Pruning from Adaptive Regularization…

    https://mlg.eng.cam.ac.uk/pub/pdf/HanRas94.pdf
    13 Feb 2023: Neural Syst. 1, 317-326. Received May 14,1993; accepted January 24, 1994.

  43. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect0203.pdf
    19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 2, 3: PCA, FA and EM January 20th, 21st 2010 24 / 32.

  44. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1213/lect0102.pdf
    19 Nov 2023: p(y|x, M). Rasmussen & Ghahramani (CUED) Lecture 1 and 2: Probabilistic Regression 24 / 32.

  45. - 4F13: Machine Learning

    https://mlg.eng.cam.ac.uk/teaching/4f13/1112/lect0102.pdf
    19 Nov 2023: p(y|x, M). Quiñonero-Candela & Rasmussen (CUED) Lecture 1 and 2: Probabilistic Regression 24 / 32.

  46. MODEL BASED LEARNING OF SIGMA POINTS IN UNSCENTED KALMAN ...

    https://mlg.eng.cam.ac.uk/pub/pdf/TurRas10.pdf
    13 Feb 2023: 2.24 0.369 N/A 3.60 0.477 N/A 1.05 0.0692 N/AEKF 617554 0.0149 9.690.977 <0.0001 1.750.113

  47. Eurocon_final.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/KocMurRasLik03.pdf
    13 Feb 2023: More on this topiccan be found in [7], [24].Linear MPC It is worth to remark that even though this is a con-strained nonlinear MPC problem it can be used ... 24] Zheng A., Morari M., Stability of model predictive control with mixedconstraints, IEEE Trans.

  48. G:\bioinformatics\ISMB\btq210.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/SavGhaGrietal10.pdf
    13 Feb 2023: 5634 2 2.6108 22/23 15/84 Nucleus32991 2 7.9105 18/23 24/84 Macromolecular complex. ... BMC Bioinformatics, 8,283. i165. by on July 24, 2010 http://bioinform. atics.oxfordjournals.orgDownloaded from.

  49. grasshopper.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/GolZhuVanAnd07.pdf
    13 Feb 2023: Afterexamining the results for all 24 configurations, weselected the best one:α = 0.25 andλ = 0.5. ... of 11DUC 2004 Task 4b 24 0.4067 [0.3883, 0.4251] Between 2 & 3 of 11.

  50. main.dvi

    https://mlg.eng.cam.ac.uk/pub/pdf/Sch09b.pdf
    13 Feb 2023: Qzz qz (24)[Qz ]. i:. ︸ ︷︷ ︸. d. zi qz [Qz]ĩ: zĩ︸ ︷︷ ︸.

  51. A robust Bayesian two-sample test for detecting intervals of ...

    https://mlg.eng.cam.ac.uk/pub/pdf/SteDenWiletal09.pdf
    13 Feb 2023: a total of 24 time points). B.cinerea spores (suspended in half-strength grape juice) germinate, penetrate theleaf and cause expanding necrotic lesions. ... This model is related to mixtures of Gaussian process experts, whichhave been studied previously

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