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27 Jan 2023: We have built a protein retrieval system to search UniProt, an annotated database of 200,000+ proteins.

13 Feb 2023: The step sizes are set individually using several heuristic approximations, andscaled by an overall parameter ". We use L = 200 iterations, a window size of 20and a step size of " = 0:2 ... Allsimulations were done on a 200 MHz MIPS R4400 processor. The

27 Jan 2023: In figure 5 we show how the evidencedepends onγ and the overall scaleC for a model of large order (D = 200). ... 0.5. 0. scaling exponent. log1. 0(C. ). log Evidence (D=200, max=27.48).

13 Feb 2023: 0 100 200 300 400 500 600 700 800 900 10004. ... 3. 2. 1. 0. 1. 2. 3. inpu. ts. a. 0 100 200 300 400 500 600 700 800 900 10003.

16 Jul 2024: W (100)M (200) W (200). f2. f1Acc: 0.83. Benefit: 0% (M), 67% (W). ... M (100). W (100)M (200) W (200). f2. f1Acc: 0.72. Benefit: 22% (M), 22% (W)Acc: 1.00.

27 Jan 2023: w/ Knowles 2011). Pitman-Yor Diffusion Tree: Results. Ntrain = 200, Ntest = 28, D = 10 Adams et al. ... 2008). Figure: Density modeling of the D = 10, N = 200 macaque skullmeasurement dataset of Adams et al.

16 Jul 2024: Understanding the Bethe Approximation: When and How can it go Wrong? Adrian WellerColumbia UniversityNew York NY 10027. adrian@cs.columbia.edu. Kui TangColumbia UniversityNew York NY 10027. kt2384@cs.columbia.edu. David SontagNew York UniversityNew

13 Feb 2023: We vary the level of noise in the synthetic data, fixingN = 200, in Figure 3(b). ... Annals of the Institute of Statistical. Mathematics, 44:197–200, 1992. 10.1007/BF00048682.[5] G.

13 Feb 2023: Also plotted,50 samples obtained using thenumerical approximation. 100 150 200 250 300 350 400 450 500 550 6002.5. ... trueexactapproxnumerical. 100 150 200 250 300 350 400 450 500 550 6000.

13 Feb 2023: The data size was 200/class for training and 200/class for test.