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LNCS 5342 - Outlier Robust Gaussian Process Classification
https://mlg.eng.cam.ac.uk/pub/pdf/KimGha08a.pdf13 Feb 2023: Figure 1 shows the training points, test points, decision boundary from GPCand decision boundary from robust GPC. ... We created 10 pairs of training and test sets by randomlydividing the whole data set into two. -
Manifold Gaussian Processes for Regression Roberto Calandra∗, Jan…
https://mlg.eng.cam.ac.uk/pub/pdf/CalPetRasDei16.pdf13 Feb 2023: Additionally, for the test set, wemake use of the Negative Log Predictive Probability (NLPP). ... For training we extract 400consecutive data points, while we test on the following 500data points. -
PROBABILISTIC NON-NEGATIVE TENSOR FACTORIZATION USING MARKOV CHAIN…
https://mlg.eng.cam.ac.uk/pub/pdf/SchMoh09.pdf13 Feb 2023: The test data is created by randomlyselecting 10% of the data points and setting them as missing. ... 0.5. 1. 1.5. 2. 2.5. 3. PARAFAC. Probabilistic NTF. Test Train. -
Randomized Nonlinear Component Analysis
https://mlg.eng.cam.ac.uk/pub/pdf/LopSraSmo14a.pdf13 Feb 2023: Results are statistically significantrespect to a paired Wilcoxon test on a 95% confidence inter-val. ... Figure 3. Autoencoder reconstructions of unseen test images forthe MNIST (top) and CIFAR-10 (bottom) datasets. -
Local and global sparse Gaussian process approximations Edward…
https://mlg.eng.cam.ac.uk/zoubin/papers/aistats07localGP.pdf27 Jan 2023: The nearestblock’s GP is used to predict at a given test point. ... At test time, a test point is simply assigned tothe nearest cluster center. -
BIOINFORMATICS ORIGINAL PAPER Vol. 21 no. 16 2005, pages ...
https://mlg.eng.cam.ac.uk/pub/pdf/ChuGhaFal05a.pdf13 Feb 2023: Non-parametric tests,e.g. the Wilcoxon rank sum test, are superior to the t -test in this case. ... The integers in the parantheses is the total test error numberover the 10 folds. -
/users/joe/src/tops/dvips
https://mlg.eng.cam.ac.uk/pub/pdf/UedNakGha00a.pdf13 Feb 2023: improve the likelihood of both the training dataand of held-out test data. ... The split criterion defined by equation 3.13 can be viewed as a likelihoodratio test. -
standalone.dvi
https://mlg.eng.cam.ac.uk/pub/pdf/QuiRasWil07.pdf13 Feb 2023: test conditional: p(f|u) = N (K,uK1. u,uu, K, Q,) , (10b). ... Lower graph: assumption of conditional independencebetween training and test function values given u. -
Variational Inference for the Indian Buffet Process Finale…
https://mlg.eng.cam.ac.uk/pub/pdf/DosMilVanTeh09.pdf13 Feb 2023: Table 1: Running times in seconds and test log-likelihoods for the Yale Faces dataset. ... Algorithm K Time Test Log-Likelihood. 2 56 -0.7444Finite Gibbs 5 120 -0.4220. -
Recent Advanced in Causal Modelling Using Directed Graphs
https://mlg.eng.cam.ac.uk/zoubin/SALD/scheines.ppt27 Jan 2023: Can be applied to distributions where tests of conditional independence are known, but scores aren’t. ... 2) X1 - X2 into X2. Test. Test Conditions. X3. X2.
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