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16 Jul 2024: This dataset consists of 11,788 im-ages of 200 bird species with every image annotatedusing 312 binary concept labels (e.g. ... 28] C. Wah, S. Branson, P. Welinder, P. Perona, S. Be-longie, The caltech-ucsd birds-200-2011 dataset(2011).

27 Jan 2023: http://neurosci.nature.com. 200. 0 N. atu. re A. mer. ica. Inc. • ... ilk. 2000 Nature America Inc. • http://neurosci.nature.com. 200. 0 N. atu.

13 Feb 2023: of equilibria, shown in Figure 3(a).The linearisations are each identified from 200 function observations W obtained bystarting a simulation at and perturbing the control signal about = by >. We infer ... 200 per linearisationpoint with noisy ( ). 2. 1. 0

13 Feb 2023: We recorded 992 pairs of spatial and image positions, 200 of which wererandomly selected as training set. ... 0 50 100 150 200 250 300 350 4000.2. 0.3. 0.4.

27 Jan 2023: generated data with D = 7, K =6, N = 200, the Z matrix shown in Figure 1(a), and Gaussian or Laplaciansource distributions.

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

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.

13 Feb 2023: Averages over 200 repetitions. [5] I.J. Leontaritis and S.A. Billings, “Input-output parametricmodels for non-linear systems, part 1: Deterministic non-linear systems, part 2: Stochastic non-linear

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.