(in this case, scientific collaboration). We propose a stylized concept and model of “churn” to describe the process of network emergence and stabilization. Our empirical and simulation results suggest that these network emergence dynamics may be instrumental for explaining network details, as well...
An alternative approach, and the one used here, is to fit the deep network to human behaviour and examine how the model performs using experimental simulations. Such an approach was recently used to detect differences in decision making patterns between predefined groups of participants by their ...
In this approach, researchers pre-assumed that the correlation between facial features renders a face beautiful; accordingly, their neural network was trained not to learn beauty but extract and estimate facial features based on majority voting and average score datasets, without investigating the ...
4.2. Bayesian Nonparametric Approach Guo et al. [11] designed a Bayesian nonparametric model to define an infinite-dimensional parameter space. In other words, the size of this model can adapt to the change in the AI model as the data are increased or decreased. This model can be determined...
For details, see our the fastai paper, and the documentation. API When talking about fastai API one needs to distinguish High and Middle/Low-level API.We will talk about both in the following sections. High-level API The high-level API is very useful to beginners and pr...
To explore the role of DNA methylation linking early life socioeconomic disadvantage to transcription levels in adulthood, we applied Bayesian network scoring to 4,076 CpGs located nearby (< 1500 bp) the 2sMR-implicated and CTRA indicator genes (see TableS2), for five causal structures (Group...
Independently, a large body of theoretical work in network science aims to explain the general properties of human social networks through simple models of how networks form. Yet these models tend to focus either on networks with a fixed set of agents26, or on boundlessly growing networks27, ...
Bayesian structural equation modelling (BSEM), we explored the factors explaining cognitive status in the group of older adults. Additionally, we applied transcranial alternating current stimulation (tACS) to a parieto-central network found to underlie visuotactile interactions and working memory matching...
normativetrainingsubset. Next, for each brain region (j), we used gaussian process regression (GPR) to predict cortical volume values from age and sex using the training subset (see ref.28for details). An advantage of this approach is that in addition to fitting potentially nonlinear ...
Neural network model for colour coding Full size image Full size image A simple model can reproduce previously measured spectral response curves with one morphological neuron type The estimated weight of photoreceptor inputs to colour-sensitive neurons in the model follows a random distribution ...