In West Africa, populations were also split into two groups consistent with their geographical distribution, 'West 1' (W1) including most western populations and 'West 2' (W2) populations from Nigeria. However, W1 included a large number of admixed individuals. Bayesian analysis revealed migrants...
The learning curves for infinitely wide neural network will thus have the same form in Eq. (9), evaluated with NTK eigenvalues and with λ = 0. In Fig. 6a, we compare the prediction of our theoretical expression for Eg, Eq. (4), to NTK regression and neural network training. The...
InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand...
Why are network layers important? Describe the difference between source code and object code. Explain the difference between a formula and a function and give an example of each. Suppose that the data mining task is to cluster points (with (x,y) representing location) into three clusters, wh...
A Bayesian analysis and divergence time were simultaneously calculated using the concatenated genes in BEAST 1.10.4 (Suchard et al., 2018). The best model of nucleotide substitution was selected for each gene based on the Bayesian information criterion (BIC) using the function modelTest in the ...
Bayesian Model Selection revealed that the model most likely to explain the data included modulation of all the connections between PPC and BA18 and within-BA18 connectivity including only the region that represent the current target location (family 1, model 2: highlighted with dotted-line). PPC...
Nevertheless, many previous models of sociality and network formation fail to account for the high clustering observed. For example, while preferential attachment can reconstruct the degree distribution of social networks, it fails to capture their high degree of clustering27. The social inheritance ...
We then attempted to rescue these models by driving the network with increasing levels of private noise, namely, external noise, independent for each neuron (Figure S8D; STAR Methods). This led to small amounts of trial-to-trial variability in dwell times but was still qualitatively different ...
InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand...
example, that people from lower-income CBGs have higher infection rates in part because they tend to visit denser POIs and because they have not reduced mobility by as much (probably because they cannot work from home as easily4)—to hold robustly. Our fine-grained network modelling approach ...