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520 Factorial Mixture of Gaussians andthe Marginal Independence Model …
https://mlg.eng.cam.ac.uk/pub/pdf/SilGha09b.pdf13 Feb 2023: The resulting predictive log-likelihood forthe five folds were -7.18, -7.15, -7.09, -7.24, -7.31 for thebi-directed model. ... For the LVM trained by maximumlikelihood and EM, the results were -10.78, -10.24, -9.68, -10.04, -10.28, showing a sizeable -
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, -
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). -
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. -
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. -
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, -
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. -
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
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