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Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning
https://mlg.eng.cam.ac.uk/pub/pdf/ZhuKanGha04a.pdf13 Feb 2023: For all datasets, we usethe smallestm = 200 eigenvalue and eigenvector pairs from the graph Laplacian. ... 200 88.1 1.3 88.0 1.3 80.4 2.5 84.4 1.6 86.0 1.5 78.3 1.3 60.8 7.3 84.3 -
Propagation Algorithms for VariationalBayesian Learning Zoubin…
https://mlg.eng.cam.ac.uk/pub/pdf/GhaBea00a.pdf13 Feb 2023: We generated a 200-step time series of 10-dimensional data from three models:5(a) a factor analyser (i.e. -
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, -
iMGPE.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/RasGha02.pdf13 Feb 2023: 0 50 100 150 200. 0. 0.2. 0.4. 0.6. 0.8. 1. -
statmodels.dvi
https://mlg.eng.cam.ac.uk/zoubin/papers/cohn96a.pdf27 Jan 2023: of 20 iterations per step.50 100 150 200 250 300 350 400 450 500. ... 140. Active Learning with Statistical Modelstraining set size. 50 100 150 200 250 300 350 400 450 500. -
The IBP Compound Dirichlet Process and its Application to Focused…
https://mlg.eng.cam.ac.uk/pub/pdf/WilWanHelBle10.pdf13 Feb 2023: 100. 200. 300. 400. 500. Number of topics. Num. ber. of w. ... In bothmodels, topics appearing in more than 200 documents have beenexcluded to focus on the low frequency topics. -
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, -
PowerPoint Presentation
https://mlg.eng.cam.ac.uk/capp-workshop/slides/chris.pdf23 Nov 2022: None (one in progress, 200 times slower than SciPy according to the author!). -
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.
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