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statmodels.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/CohGhaJor96b.pdf13 Feb 2023: 0.003. 0.01. 0.03. 0.1. 0.3. 1randomvariance. 50 100 150 200 250 300 350 400 450 500. ... 140. Active Learning with Statistical Models. training set size50 100 150 200 250 300 350 400 450 500. -
Policy Search for Learning Robot Control Using Sparse Data
https://mlg.eng.cam.ac.uk/pub/pdf/BisNguHooetal14.pdf13 Feb 2023: If onlylittle data is available, e.g. 200 data points for an 18 dim.model, the model learning performance can be improvedwhen using additional prior system knowledge [11]. ... The training data, e.g. 200 samples in an 18dimensional space after 4 episodes, -
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, -
Discovering temporal patterns of differential geneexpression in…
https://mlg.eng.cam.ac.uk/pub/pdf/SteDenMcHetal09.pdf13 Feb 2023: Figure 3d shows re-sults for one of the approximately 200 genes that were identified as differentially expressedright from the start of the time series. -
Bayesian Sets Zoubin Ghahramani∗ and Katherine A. HellerGatsby…
https://mlg.eng.cam.ac.uk/pub/pdf/GhaHel06.pdf13 Feb 2023: Theanalogous priors are used for both other datasets. The EachMovie dataset was preprocessed, first by removing movies rated by less than 15people, and people who rated less than 200 movies. -
Propagation Algorithms for VariationalBayesian Learning Zoubin…
https://mlg.eng.cam.ac.uk/zoubin/papers/nips00beal.pdf27 Jan 2023: We generated a 200-step time series of 10-dimensional data from three models:5(a) a factor analyser (i.e. -
erice.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/erice.pdf27 Jan 2023: 0. 50. 100. 150. 200. 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10. ... 50. 100. 150. 200. a. bFigure 7. Histograms of the average activity of the top level binary unit, after prolongedGibbs sampling, when shown novel handwritten twos and threes. -
Bayesian Learning in Undirected Graphical Models:Approximate MCMC…
https://mlg.eng.cam.ac.uk/pub/pdf/MurGha04a.pdf13 Feb 2023: 1 0.5 0 0.5 1 1.50 50 100 150 200 250 300. ... 0. 0.2. 0.4. 0.6. 0.8. Parameters. f. 0 100 200 300 400 500 6000. -
iMGPE.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/iMGPE.pdf27 Jan 2023: 0 50 100 150 200. 0. 0.2. 0.4. 0.6. 0.8. 1. -
PROBABILISTIC NON-NEGATIVE TENSOR FACTORIZATION USING MARKOV CHAIN…
https://mlg.eng.cam.ac.uk/pub/pdf/SchMoh09.pdf13 Feb 2023: HM. C. Training RMSE. 0 10 20 30 40 0 50 100 150 200.
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