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27 Jan 2023: Non-parametric tests, e.g. the Wilcoxon rank sum test, are superiorto the t-test in this case. ... expressed in the rank sum test atthe significance level of p=0.01.

13 Feb 2023: The quality of the inference was measured by eval-uating the test log-likelihood and the L2 reconstruc-tion error of the missing elements. ... tude faster per-iteration than the collapsed sampler.However, its test L2 reconstruction error and likeli-.

13 Feb 2023: Each row corresponds to a test in a 5-fold cross-validation setup. ... test of ind. NIPS, 2007. G. Hinton. Training products of experts by minimizingcontrastive divergence.

27 Jan 2023: 0.23370.0072. Table 2: Test results of the three algorithms using a Gaussian kernel. ... Figure 4 presents the test results of the three algorithms for different numbers ofselected genes.

13 Feb 2023: Next anyparameters of the density model can be integrated outto produce a predictive clustering of unseen test data. ... lected wheat types) and leave 5 data points from eachwheat type as unobserved test points.

13 Feb 2023: c) (d)Figure 4: Olivetti faces a) Test images on the left, withreconstructed bottom halves on the right. ... Fig 4ashows six bottom-half test set reconstructions on theright, compared to the ground truth on the left.

27 Jan 2023: Ph.D. Thesis, Graduate Group in Managerial Science and Applied Economics,University of Pennsylvania, Philadelphia, PA.Everitt, B.

27 Jan 2023: The RFP for a protein is defined as the fraction ofnegative test proteins (i.e. ... All of the models considered dramaticallyoutperform BLAST2 in this test of remote homologrecognition.

13 Feb 2023: Althoughdeposit failure feedback was not available to the learner, thedeposit success is good across 10 test trials and four differenttraining setups. ... Second, Tab. III reports the block-deposit success rates for10 test runs (and four different

13 Feb 2023: We also assume. the transductive scenario where we are given a test setS of S points {xs}Ss=1, i.e. ... of the shift between the test and trainingdistributions (columns) and the asymmetry of loss (rows).

27 Jan 2023: We propose estimating the likelihood of a test sequence given a learned model using particlefiltering. ... 6Different particle initialisations apply if we do not assume that the test sequence immediatelyfollows the training sequence.

27 Jan 2023: Some Comparisons. Table 1: Test errors and predictive accuracy (smaller is better) for the GP classifier, the supportvector machine, the informative vector machine, and the sparse pseudo-inputGP classifier. ... Data set GPC SVM IVM SPGPC. name train:test

27 Jan 2023: Morespecifically, we restrict ourselves to thetransductive setting where the unlabeled data alsoserve as the test data. ... All classes must be present in the labeled set. The rest is used asunlabeled (test) set in that trial.

13 Feb 2023: The data was randomly split into atraining set of 130 countries, and a test set of 14 coun-tries. ... For each test country, one randomly selectedindicator was observed, and the remainder held outfor prediction.

13 Feb 2023: In almost all of our tests, Archipelagohad lower test classification error than the NCNM. ... Itimproves over mixture-based Bayesian approaches toSSL while still modeling complex density functions.In empirical tests, our model compares favorably

13 Feb 2023: The test set log likelihood forNobservation sequences is defined as. Nn=1 log P(Y. ... and test sets (p < 0.05).This may be due to insufficient sampling.

27 Jan 2023: Fig 2 (a) and Fig 2 (b) shows the training set and the test set. ... Each fold were subsequently used as a test set, while the other 9.

27 Jan 2023: For each randomly sampled set of parameters, aseparate training set and test set were generated and each algorithm was run once. ... Sixty-six chorales, with 40 or more events each, were divided into atraining set (30 chorales) and a test set (36 chorales

13 Feb 2023: In each case, we evaluated their performance on a test set consist-ing of sequences from 3 debates. ... Since we have introduced parameters θ it is sensible to test our methodologyfor signs of overfitting.

13 Feb 2023: Then the learning. 2,3. 2,4. 2,5. 3,4. 3,5. 4,5. Figure 1: Sample images from the test set. ... tested on the same test set.