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zglactive.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/zglactive.pdf27 Jan 2023: Combining Active Learning and Semi-Supervised LearningUsing Gaussian Fields and Harmonic Functions. Xiaojin Zhu. ZHUXJ@CS.CMU.EDUJohn Lafferty. LAFFERTY@CS.CMU.EDU. Zoubin Ghahramani. ZOUBIN@GATSBY.UCL.AC.UKSchool of Computer Science, Carnegie -
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 -
Methods for Inference in Graphical Models
https://mlg.eng.cam.ac.uk/adrian/phd_FINAL.pdf16 Jul 2024: 3 Additional Background 24. 3.1 MAP Inference and Tractable Cases. 24. -
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 -
doi:10.1016/j.patrec.2005.09.027
https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06a.pdf13 Feb 2023: Martinez, A., Benavente, R., 1998. The ar face database. CVC TechnicalReport #24. ... Pattern Anal. Mach. Intell. 24 (5), 707–711. Neal, R., 1997. Monte Carlo implementation of Gaussian process modelsfor Bayesian regression and classification. -
A Brief Overview of Nonparametric Bayesian Models NIPS 2009 ...
https://mlg.eng.cam.ac.uk/zoubin/talks/nips09npb.pdf27 Jan 2023: 21). Given s, the distribution of Z becomes:. p( Z | x , s, µ ( 1 : ) ) p( Z | x , µ ( 1 : ) ) 1µ I (0 s µ ) (24). -
PowerPoint Presentation
https://mlg.eng.cam.ac.uk/capp-workshop/slides/chris.pdf23 Nov 2022: Slide Number 21. Slide Number 22. Slide Number 23. Slide Number 24. -
Bayesian Hierarchical Clustering Katherine A. Heller…
https://mlg.eng.cam.ac.uk/zoubin/papers/icml05heller.pdf27 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. -
Encyclopedia of Cognitive Science—Author Stylesheet ©Copyright…
https://mlg.eng.cam.ac.uk/zoubin/papers/ECS-infotheory02.pdf27 Jan 2023: After the neighbour tells you that he lives on the top floor, the probability of X drops to 0 for 24 of the 32 values and becomes 1/8 for the -
G:\bioinformatics\ISMB\btq210.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/SavGhaGrietal10.pdf13 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. -
Augmented Attribute Representations Viktoriia Sharmanska1, Novi…
https://mlg.eng.cam.ac.uk/pub/pdf/ShaQuaLam12.pdf13 Feb 2023: There are 50 animals classesin this dataset. The dataset also contains semantic information in the form of an85-dimensional Osherson’s [24] attribute vector for each animal class. ... In: CVPR. (2010) 3027–3034. 24. Osherson, D.N., Stern, J., Wilkie, -
From Parity to Preference-based Notionsof Fairness in Classification…
https://mlg.eng.cam.ac.uk/adrian/NeurIPS17-from-parity-to-preference.pdf16 Jul 2024: decisionoutcomes. A number of learning mechanisms have been proposed to achieve parity in treatment [24],. ... Angwin. https://github.com/propublica/compas-analysis, 2016. [24] B. T. Luong, S. Ruggieri, and F. -
The Indian Buffet Process and Extensions Zoubin Ghahramani University …
https://mlg.eng.cam.ac.uk/zoubin/talks/turin09.pdf27 Jan 2023: 21). Given s, the distribution of Z becomes:. p( Z | x , s, µ ( 1 : ) ) p( Z | x , µ ( 1 : ) ) 1µ I (0 s µ ) (24). -
Tree-Structured Stick Breaking for Hierarchical Data Ryan Prescott…
https://mlg.eng.cam.ac.uk/pub/pdf/AdaGhaJor10.pdf13 Feb 2023: To efficiently learn thenode parameters, we used Hamiltonian (hybrid) Monte Carlo (HMC) [24], taking 25 leapfrog HMCsteps, with a randomized step size. ... 24] Radford M. Neal. MCMC using Hamiltonian dynamics. In Handbook of Markov chain Monte -
Split and Merge EM Algorithm for Improving Gaussian Mixture Density…
https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00b.pdf13 Feb 2023: Table 1. Log-likelihood/sample size. Initial value EM DAEM SMEM. Training. Mean 159.1 148.2 147.9 145.1Std 1.77 0.24 0.04 0.08. -
Gender Classification with Bayesian Kernel Methods [IJCNN1261]
https://mlg.eng.cam.ac.uk/pub/pdf/KimKimGha06b.pdf13 Feb 2023: 24, no. 5, pp. 707–711, 2002. [6] A. Jain and J. -
newroyftp.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/HinGha97a.pdf13 Feb 2023: A factor analyzer with 24 hidden units discoversglobal features with both excitatory and inhibitory components (gure 9a). ... a) Weights from the top layer hidden unit to the 24 middle-layer hidden units. -
A Systematic Bayesian Treatment of the IBM Alignment Models ...
https://mlg.eng.cam.ac.uk/pub/pdf/GalBlu13.pdf13 Feb 2023: HMM Model Model 420. 21. 22. 23. 24. 25. 26. 27. -
Beyond Dataset Bias: Multi-task UnalignedShared Knowledge Transfer…
https://mlg.eng.cam.ac.uk/pub/pdf/TomQuaCapLam12.pdf13 Feb 2023: 15 85.38 3.42 80.66 2.12MSRCORID 45.80 4.26 51.79 2.73 52.59 2.93 40.24 3.11. ... In:. NIPS. (2010)24. Leen, G.: Context assisted information extraction. PhD thesis, University of the. -
Variational Inference for Nonparametric Multiple Clustering Yue Guan, …
https://mlg.eng.cam.ac.uk/pub/pdf/GuaDyNiuetal10.pdf13 Feb 2023: The first 100 eigenvectors retains a total of 99.24% ofthe overall variance. ... Journalon Machine Learning Research, 3:583–617, 2002. [24] M. Turk and A. -
Sequential Decisions
https://mlg.eng.cam.ac.uk/zoubin/SALD/week13sequential.pdf27 Jan 2023: solutions – the latter relating to “improper” priors! 24. Appendix: Background on the Von Neumann - Morgenstern theory of cardinal. -
A Nonparametric Bayesian Model for Multiple Clustering…
https://mlg.eng.cam.ac.uk/pub/pdf/NiuDyGha12.pdf13 Feb 2023: 65CRP-CRP 0.87 0.66 0.34 0.87DP-Gauss 0.24 0.27 0.23 0.016. ... on Data Mining,pages 530–539, 2008. [24] A. Strehl and J. Ghosh. -
Factored Contextual Policy Search with Bayesian Optimization Robert…
https://mlg.eng.cam.ac.uk/pub/pdf/PinKarKupetal19.pdf13 Feb 2023: For the Gym tasks, weemploy an extension [24] of the DMP framework [12] toefficiently generate goal-directed trajectories. ... 16, no. 5, pp. 1190–1208, 1995. [24] J. Kober, K. Mülling, O. -
Prediction at an Uncertain Input for GaussianProcesses and Relevance…
https://mlg.eng.cam.ac.uk/pub/pdf/QuiGirRas03.pdf13 Feb 2023: Ex[σ2(x)] varx(µ(x. )) (24). where Ex indicates the expectation under x. -
newroyftp.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/RGBN.pdf27 Jan 2023: A factor analyzer with 24 hidden units discoversglobal features with both excitatory and inhibitory components (gure 9a). ... a) Weights from the top layer hidden unit to the 24 middle-layer hidden units. -
images/test_user_webdesign.eps
https://mlg.eng.cam.ac.uk/pub/pdf/IwaShaGha13a.pdf13 Feb 2023: We estimate the Dirichlet parameter β by using the fixed-point iteration method described in [24]. ... γW. EnX. n′=1. αun exp(γtn)! , (24). where W () is the Lambert W function, which solves theequation x = W (x) exp(W (x)), and. -
Reinforcement Learning with Reference Tracking Controlin Continuous…
https://mlg.eng.cam.ac.uk/pub/pdf/HalRasMac11.pdf13 Feb 2023: 3] M. P. Deisenroth. Efficient Reinforcement Learning using GaussianProcesses. PhD thesis, Cambridge University, November 24 2009. -
Nonparametric Bayesian Sparse Factor Models with application to Gene…
https://mlg.eng.cam.ac.uk/pub/pdf/KnoGha11b.pdf13 Feb 2023: 14 15 16 17 18 19 20 21 22 23 24 25 26 270. ... 2004) (N = 24,D = 100,3000 MCMC iterations). 5.3. Biological data: E. -
1 Graph Kernels by Spectral Transforms Xiaojin Zhu Jaz ...
https://mlg.eng.cam.ac.uk/zoubin/papers/ssl-book.pdf27 Jan 2023: maxµ vec(T )>M µ (1.24). subject to ||M µ|| 1 (1.25). ... 0.27 (86) 0.24 (92) 0.15 0.18 0.40 (85) 0.02 0.12 0.09. -
Bayesian Knowledge Corroboration with LogicalRules and User Feedback…
https://mlg.eng.cam.ac.uk/pub/pdf/KasVanGraHer10.pdf13 Feb 2023: While [23, 24] represent the formalism of first-orderlogic by factor graph models, [27] and [29] deal with Bayesian networks appliedto first-order logic. ... 1094–1099. AAAI Press(2008). 24. Domingos, P., Richardson, M.: Markov Logic Networks. -
1 Robust Filtering and Smoothing with Gaussian Processes Marc ...
https://mlg.eng.cam.ac.uk/pub/pdf/DeiTurHubetal12.pdf13 Feb 2023: Using the definition of S in (24), the productof the two Gaussians in (36) results in a new (unnormalized) Gaussianc14 N(xt1 |ψi, Ψ) with. ... 24] J. Kocijan, R. Murray-Smith, C. E. Rasmussen, and B. Likar, “PredictiveControl with Gaussian Process -
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, -
analogy-aistats2007.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/SilHelGha07a.pdf13 Feb 2023: C1 C2 RB SB1 SB2 C1 C2 RB SB1 SB2. student course f aculty projectcornell 0.87 0.61 0.87 0.84 0.80 0.19 0.04 0.24 ... 0.18 0.18texas 0.55 0.54 0.77 0.62 0.48 0.24 0.07 0.29 0.07 0.12. -
Graph-based Semi-supervised Learning Zoubin Ghahramani Department of…
https://mlg.eng.cam.ac.uk/zoubin/talks/lect3ssl.pdf27 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 -
Predictive Automatic Relevance Determinationby Expectation…
https://mlg.eng.cam.ac.uk/pub/pdf/QiMinPic04a.pdf13 Feb 2023: PredictiveARDEPPredictiveProbARDEP. EvidenceARDEPAllFeaturesEPlinear. SVMQP_RegAdaBoostLP_RegAdaBoost. AdaBoost_RegAdaBoost. RBF. 23.5 24.5 25.5 26.5. Test error rate. -
Yarin Gal awarded Research Fellowship at St Catherine’s College,…
https://mlg.eng.cam.ac.uk/news/yarin-gal-awarded-research-fellowship-at-st-catherine-college-cambridge/3 Jul 2024: Mar 24, 2016. Well done to Yarin Gal who has been awarded the Michael and Morven Heller Research Fellowship at St Catherine’s College, Cambridge. -
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. -
Gaussian Process
https://mlg.eng.cam.ac.uk/teaching/4f13/1718/gaussian%20process.pdf19 Nov 2023: 64. 20. 24. 6. 6. 4. 2. 0. 2. 4. 6. -
- 4F13: Machine Learning
https://mlg.eng.cam.ac.uk/teaching/4f13/0910/lect01.pdf19 Nov 2023: Ghahramani & Rasmussen (CUED) Lecture 1: Introduction to Machine Learning January 14th, 2010 24 / 26. -
ENGINEERING TRIPOS PART IIA EXAMPLES PAPER - PATTERN PROCESSING ...
https://mlg.eng.cam.ac.uk/teaching/3f3/1011/examplespaper0910.pdf19 Nov 2023: 1. 4 2a 8a 24 18a = 0therefore a = 1. -
- Machine Learning 4F13, Spring 2014
https://mlg.eng.cam.ac.uk/teaching/4f13/1314/lect0102.pdf19 Nov 2023: 4. 3. 2. 1. 0. 1. 2. 3. Rasmussen and Ghahramani Lecture 1 and 2: Probabilistic Regression 24 / 36. -
- Machine Learning 4F13, Spring 2015
https://mlg.eng.cam.ac.uk/teaching/4f13/1415/lect0102.pdf19 Nov 2023: 1. 0. 1. 2. 3. Samples from the posteriorRasmussen and Ghahramani Lecture 1 and 2: Probabilistic Regression 24 / 37. -
Bayesian Classifier Combination Hyun-Chul Kim Zoubin GhahramaniKorea…
https://mlg.eng.cam.ac.uk/pub/pdf/KimGha12.pdf13 Feb 2023: Bagging predictors. Ma-chine Learning 24, 123–140. Breiman, L., October 2001. Random forests. ... Vol. 24. pp. 791–798. Takács, G., Pilászy, I., Németh, B., Tikk, D., 2007. -
Continuous Relaxations for Discrete Hamiltonian Monte Carlo
https://mlg.eng.cam.ac.uk/pub/pdf/ZhaSutSto12a.pdf13 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. -
You Shouldn’t Trust Me: Learning Models WhichConceal Unfairness From…
https://mlg.eng.cam.ac.uk/adrian/ECAI20-You_Shouldn%E2%80%99t_Trust_Me.pdf16 Jul 2024: mostimportant feature) in 2D reduced input space (scikit-learn [24]’s PCA imple-mentation). ... 4765–4774, (2017). [24] F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. -
- Machine Learning 4F13, Michaelmas 2015
https://mlg.eng.cam.ac.uk/teaching/4f13/1516/lect0102.pdf19 Nov 2023: 1. 0. 1. 2. 3. Samples from the posteriorGhahramani Lecture 1 and 2: Probabilistic Regression 24 / 38. -
A robust Bayesian two-sample test for detecting intervals of ...
https://mlg.eng.cam.ac.uk/pub/pdf/SteDenWiletal09.pdf13 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 -
Discovering temporal patterns of differential geneexpression in…
https://mlg.eng.cam.ac.uk/pub/pdf/SteDenMcHetal09.pdf13 Feb 2023: cinerea spore suspension (or mock-inoculated) and harvested every 2 hr upto 48 hr post-inoculation for a total of 24 time points. -
Learning with Multiple Labels
https://mlg.eng.cam.ac.uk/pub/pdf/JinGha02a.pdf13 Feb 2023: Class Name ecoli wine pendigit iris glass. 1 extra label Naive 17.3% 10% 14.2% 18.5% 24.9% by random.
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