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Unsupervised Learning Lecture 6: Hierarchical and Nonlinear Models…
https://mlg.eng.cam.ac.uk/zoubin/course03/lect6hier.pdf27 Jan 2023: Annual Review of. Neuroscience, 24. Applications of ICA and Related Methods. • -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect01.pdf19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning 24 / 26. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/1011/lect07.pdf19 Nov 2023: But we can not usually simulate Hamiltonian dynamics exactly. Ghahramani & Rasmussen (CUED) Lecture 7 and 8: Markov Chain Monte Carlo 24 / 28. -
- Machine Learning 4F13, Michaelmas 2015
https://mlg.eng.cam.ac.uk/teaching/4f13/1516/lect0304.pdf19 Nov 2023: 1 0 1 22. 1. 0. 1. 2M=0. 1 0 1 24. ... 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1. -
Marc P. Deisenroth, Carl E. Rasmussen, and Jan Peters: ...
https://mlg.eng.cam.ac.uk/pub/pdf/DeiRasPet08.pdf13 Feb 2023: pages 19–24, Bruges, Belgium, April 2008. Model-Based Reinforcement Learning withContinuous States and Actions. -
1 Automatic Causal Discovery Richard Scheines Peter Spirtes, Clark ...
https://mlg.eng.cam.ac.uk/zoubin/SALD/scheines.pdf27 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. -
- Machine Learning 4F13, Spring 2014
https://mlg.eng.cam.ac.uk/teaching/4f13/1314/lect0304.pdf19 Nov 2023: 1. 0. 1. 2M=0. 1 0 1 24. 2. 0. 2. ... 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1. -
- Machine Learning 4F13, Spring 2015
https://mlg.eng.cam.ac.uk/teaching/4f13/1415/lect0304.pdf19 Nov 2023: 1. 0. 1. 2M=0. 1 0 1 24. 2. 0. 2. ... 1. 2M=0. 1 0 1 24. 2. 0. 2. 4. M=1. -
paper.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/KimGha08.pdf13 Feb 2023: GPC log-ev -24.40.6 -41.80.8 -51.81.1 -60.21.0error(%) 3.700.36 4.900.77 7.500.88 8.151.42. robust log-ev ... MS-robust- log-ev -24.40.6 -41.00.7 -50.50.7 -58.60.8GPC error(%) 3.700.36 4.540.62 6.760.76 6.850.73. -
WolGha05 handout
https://mlg.eng.cam.ac.uk/zoubin/papers/WolGha06.pdf27 Jan 2023: L. Generalization, similarity, and Bayesian inference. Behav Brain Sci 24,. 629-40; discussion 652-791 (2001). -
Inferring a measure of physiological age frommultiple ageing related…
https://mlg.eng.cam.ac.uk/pub/pdf/KnoParGlaWin11.pdf13 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. -
G:\bioinformatics\Bioinfo-26(7)issue\btq053.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/LipGhaBor10.pdf13 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. -
Scalable Gaussian Process Structured Prediction for Grid Factor Graph …
https://mlg.eng.cam.ac.uk/pub/pdf/BraQuaNowGha14.pdf13 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. -
The Infinite Partially Observable Markov DecisionProcess Finale…
https://mlg.eng.cam.ac.uk/pub/pdf/Dos09b.pdf13 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. -
https://mlg.eng.cam.ac.uk/teaching/4f13/1112/cw/mauna.txt
https://mlg.eng.cam.ac.uk/teaching/4f13/1112/cw/mauna.txt19 Nov 2023: 875 316.69 1962.958 317.70 1963.042 318.74 1963.125 319.08 1963.208 319.86 1963.292 321.39 1963.375 322.24 1963.458 321.47 ... 24 1964.458 321.89 1964.542 320.44 1964.625 318.70 1964.708 316.70 1964.792 316.79 1964.875 317.79 1964.958 318.71 1965.042 -
book
https://mlg.eng.cam.ac.uk/pub/pdf/PerGhaPon07.pdf13 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). -
Blind Justice: Fairness with Encrypted Sensitive Attributes
https://mlg.eng.cam.ac.uk/adrian/poster_ICML18_BlindJustice.pdf16 Jul 2024: Bank. Datasets and Feasibility. Adult Bank COMPAS German SQFn training examples 214 215 212 29 216d features 51 62 7 24 23p sensitive attributes 1 1 7 1 1certification 802 ms -
Clamping Variables and Approximate Inference
https://mlg.eng.cam.ac.uk/adrian/newsclamp.pdf16 Jul 2024: 0.1. 0.2. 0.3. 0.4. max interaction strength W 24 / 19. -
The Infinite Hidden Markov Model Matthew J. Beal Zoubin ...
https://mlg.eng.cam.ac.uk/pub/pdf/BeaGhaRas02.pdf13 Feb 2023: The Infinite Hidden Markov Model. Matthew J. Beal Zoubin Ghahramani Carl Edward Rasmussen. Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, Englandhttp://www.gatsby.ucl.ac.uk. {m.beal,zoubin,edward -
89 Probabilistic Models for Incomplete Multi-dimensional Arrays Wei…
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGha09.pdf13 Feb 2023: 0897 1.0720 0.0855Sugar process 7 268 571 4 0.3323 0.0010 0.3303 0.0009 0.2242 0.0009Dorrit 27 551 24 5 0.5556 0.0075 ... In this experimentwith about 2.24 million training points, it took about0.5 hour to complete 100 iterations of the EM algo-rithm on
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