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27 Jan 2023: Training data size. with Mean Imputation. 50 100 150 200 250 3000.6. ... 1032. GAUSSIAN PROCESSES FORORDINAL REGRESSION. 1 3 5 10 40 200 1000 126000.

27 Jan 2023: 50 100 200 5000.3. 0.35. 0.4. 0.45. 0.5. 0.55. 0.6. 0.65. ... 100 200 500 10000.1. 0.2. 0.3. 0.4. 0.5. 0.6. Training Set Size.

27 Jan 2023: and the algorithm always found between12-14 Gaussians regardless of whether it was initialised with 0 or 200.

13 Feb 2023: pose a problem and the algorithm always found between12-14 Gaussians regardless of whether it was initialised with 0 or 200.

13 Feb 2023: d(s)2 = x2 2xl sin(ϕ) 2l2 2l2 cos(ϕ). between the tip of the pendulum and its desired position, measured every 200 ms.The distance d is denoted by ... The x-axis is the number of 200 ms time steps,the y-axis is the immediate costs.

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.

19 Jun 2024: For a given dataset, we gather responses to the abovequestions from 200 different AMT workers (that is, each fea-ture is judged by 200 different workers).

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.