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13 Feb 2023: Table 1 summarises the results of this comparisonbased on ten randomised iteration of the experimentwith 2000 training and 200 test samples. ... The data consists of two 200 200color satellite images, the background and the target(Fig.

13 Feb 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

13 Feb 2023: However, with. 0 1 2 3 4 5110. 140. 170. 200. ... 140. 170. 200. Time (sec). Ang. leof. the. left. Kne. e(d.

13 Feb 2023: It heard thecorrect door correctly with probability 0.85. The reward was unlikely to be behind the third door (p =. 2),. 0 50 100 150 200 250140. 120. 100. 80. 60.

13 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

13 Feb 2023: We generated a 200-step time series of 10-dimensional data from three models:5(a) a factor analyser (i.e.

13 Feb 2023: 0 50 100 150 200. 0. 0.2. 0.4. 0.6. 0.8. 1.

13 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.

27 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.

13 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,