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13 Feb 2023: In order to al-leviate the effect of the random initialization, we raneach experiment 200 times.

27 Jan 2023: actors,budget, recency, script, etc.) Instead, we took a semi-supervised approach, randomly selecting 200 movies,fixing the Z matrix for those data points to their cor-rect genres, and trying ... DPM inference was run semi-supervised on the same data set

27 Jan 2023: For all datasets, we usethe smallestm = 200 eigenvalue and eigenvector pairs from the graph Laplacian.Thesevalues are set arbitrarily without optimizing and do not create a unfair advantage to theproposed kernels. ... 200 88.1 1.3 88.0 1.3 80.4 2.5 84.4 1

27 Jan 2023: We trainthe BMF with 200 training examples of the type shown in the toprow in Figure 2.

13 Feb 2023: 0.9. 0.95. 1. 0 50 100 150 200 250 300. ave. ... 0.82. 0.84. 0.86. 0.88. 0.9. 0.92. 0.94. 0.96. 0 50 100 150 200 250 300.

27 Jan 2023: of Cartesian (x; y) inputs and (1; 2; 3) joint angle targets.The vectors are calculated on a test set of 200 points as the dierence between an (x; y) command

13 Feb 2023: iterations50 100 150. 0. 100. 200. 300. 400. # active feats. # ... 200. 300. mk. (# o. bjec. ts w. ith fe. atur.

27 Jan 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.

19 Jun 2024: Inall experiments we used k = 200 perturbations per iteration [15]. ... mentioned above, in allexperiments we used k = 200).

13 Feb 2023: The data size was 200 per class for training and 200 per class fortest.